Institute Personnel

Name	Research Expertise	Institute Project	AI Institute	AI Institute Title	University	University Title	Email	Special Interest Groups
Pieter Abbeel			ACTION	Faculty Researcher			pabbeel@cs.berkeley.edu
Larry Abbott	Theoretical neuroscience		ARNI	Faculty Researcher	Columbia	Professor of Theoretical Neuroscience and Professor of Physiology and Cellular Biophysics (in Biological Sciences); Principal Investigator at Columbia’s Zuckerman Institute; Codirector of Columbia’s Kavli Institute for Brain Science	lfa2103@columbia.edu
Sabrina Abdulla	Chemistry	Outreach and Industry Partner Program	MMLI	Institute Leadership	UIUC	Outreach & Partnerships Coordinator	abdulla3@illinois.ed	N/A
Rebecca Abergel	Studies the effects of heavy element and inorganic isotope exposure and contamination on different biological systems	Interface of chemistry, nuclear chemistry, radiochemistry, photophysics, chemical biology, health physics, pharmacology, and molecular and cellular biology.	AIFS	Faculty Researcher	UC Berkeley	Associate Professor	abergel@berkeley.edu
Jayadev Acharya	Explores the convergence of information theory, statistical inference, algorithms, and machine learning.	Federated learning related to food safety	AIFS	Faculty Researcher	Cornell University	Assistant Professor	acharya@cornell.edu
Terri Adams-Fuller	Sociology and Criminology	Researcher	AI-SDM	Co-PI of Grant	Howard University	Professor	tadams-fuller@howard.edu
Shuchin Aeron	Information Theory, Generative Networks, Robust Representation Learning, Optimal Transport	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Tufts	Associate Professor	shuchin@ece.tufts.edu
Pulkit Agrawal	Sensorimotor control, deep learning, robotics, intuitive physics and behavior, reinforcement learning, computer vision	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Assistant Professor	pulkitag@mit.edu
Maneesh Agrawala	Computer Graphics, Human-Computer Interaction and Visualization	Learning Material Rewriting and Enrichment thrust	AI4ExceptionalEd	Faculty Researcher	Stanford University	Director of Brown Institute for Media Innovation, Forest Baskett Professor	maneesh@cs.stanford.edu
John Allen			AI2ES	Faculty Researcher	Central Michigan University		allen4jt@cmich.edu
Chuck Anderson	Interpretable machine learning	XAI	AI2ES	Faculty Researcher	Colorado State University	Professor	chuck.anderson@colostate.edu
Sotirios Archontoulis			AIIRA	Faculty Researcher	Iowa State University	Professor	sarchont@iastate.edu
Carlos Argüelles	Neutrino experiment, neutrino phenomenology, astroparticle physics	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Assistant Professor	carguelles@fas.harvard.edu
Ana Arias	Utilizing electronic materials processed from solution in flexible electronic systems	Inexpensive soil-based sensors	AIFS	Faculty Researcher	UC Berkeley	Professor	acarias@berkeley.edu
Kate Arneson	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Assistant Research UIX Designer	karneson@illinois.edu	N/A
Anish Arora	Networking, Machine Learning, Wireless Platform	3. Multi-Agent Network Resource Allocation and Control	AI-EDGE	Institute Leadership	The Ohio State University	Professor	anish@cse.ohio-state.edu
Nikolay Atanasov	Existential and contextual robotics	Novel representations and algorithms for mixed discrete and continuous optimization problems inherent in multi-agent metric-semantic mapping (R1.1); Inverse reinforcement learning and learning from demonstration (R3.2)	TILOS	Faculty Researcher	UC San Diego	Assistant Professor	natanasov@ucsd.edu
Demba Ba	Sparse representations, deep learning, computational neuroscience	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Professor	demba@seas.harvard.edu
Chad Babcock			AI-CLIMATE	Research Thrust Leader	University of Minnesota	Assistant Professor	cbabcock@umn.edu
Brian Bailey	Developing high-resolution, 3D models and measurement techniques that can explicitly represent scales ranging from leaves to canopies	Developing the next generation of plant simulation tools to better understand and represent heterogeneity in plant systems across scales.	AIFS	Faculty Researcher	UC Davis	Associate Professor	bnbailey@ucdavis.edu
Vijay Balasubramanian	High Energy Physics, Biophysics	Funded project	ARNI	Faculty Researcher	Upenn	Cathy and Marc Lasry Professor	vijay@physics.upenn.edu
Ashley Balley		Education outreach, and workforce development for AIFS	AIFS	Institute Leadership	UC Davis	Education & Public Engagement Coordinator	asubramani@ucdavis.edu
Katharine Banner	Application-driven method development, particularly for ecological applications; multimodel inference, model combination, and model selection; bayesian methods; promoting the appropriate use of statistical methods in practice; providing accessible computing and visualization tools (e.g., R packages) for practitioners; statistics education	Modeling; Curriculum & Education	Dynamics AI	Faculty Researcher	Montana State University	Assistant Professor	katharine.banner@montana.edu
Mohit Bansal			Engage AI	Co-PI of Grant			mbansal@cs.unc.edu
Elias Bareinboim	Causal and counterfactual inference and their applications to data-driven fields in the health and social sciences as well as artificial intelligence and machine learning	Continual Learning and Frontier Models Working Group Co-Lead	ARNI	Faculty Researcher	Columbia	Associate Professor of Computer Science	eb@cs.columbia.edu
Tiffany Barnes			Engage AI	Faculty Researcher			tmbarnes@ncsu.edu
Elizabeth Barnes	Climate, XAI, Interpretable AI, S2S Prediction	S2S / UQ / XAI	AI2ES	Faculty Researcher	Colorado State University	Professor	eabarnes@colostate.edu
Joanne Barrett	Computer Science Education Accessibility, Inclusive Teaching Practices, Pedagogical Strategies for Equity, Educational Technology Integration, and Disability Inclusion in Learning	Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members, Review of Evidence-based Strategies for Whole-Learner Support	INVITE	Faculty Researcher	University of Florida	Director of Teacher Education	jrbarrett@coe.ufl.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Lisa Barsotti	Gravitational waves, laser interferometry, quantum optics, precision measurements	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Senior Research Scientist	lisabar@mit.edu
Nick Bassill			AI2ES	Faculty Researcher	University of Albany	Director	nbassill@albany.edu
Raef Bassily	Privacy, Machine Learning	8. Security and Privacy of Network Users	AI-EDGE	Institute Leadership	The Ohio State University	Associate Professor	bassily.1@osu.edu
Beata Beigman Klebanov	Natural Language Processing, Machine Learning, Educational Technologies, Text Analysis and Complexity	Automatic detection of English idiomatic expressions in educational data – a pilot study, Literature review on NLP-supported Learner Models, Exploration of Cricket science-themed narratives with K-2 students in an informal learning context	INVITE	Faculty Researcher	Educational Testing Services	Principle Research Scientist	bbeigmanklebanov@ets.org	Strand 1 (Data sets, foundational AI/ML)
Mikhail Belkin	Foundational research	Nonconvex optimization in deep learning (F5)	TILOS	Faculty Researcher	UC San Diego	Professor	mbelkin@ucsd.edu
Jessica Bell		Program Manager	AIIRA	Managing Director/Program Manager	Iowa State University	Assistant Director	jmpbell@iastate.edu	AI for Ag, Project Management
Yoshua Bengio	Concerned about the social impact of AI and the objective that AI benefits all, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence		ARNI	Faculty Researcher	University of Montreal and MILA	Full Professor	yoshua.bengio@mila.quebec
Dorothy Bennett	Integrating constructivist, child-centered approaches for transforming learning and engagement in science, technology, engineering, and math through designing, making, and play	Outreach Lead in ARNI-NYSCI collaboration	ARNI		New York Hall of Science	Director of Creative Pedagogy (Outreach Collaborator with ARNI)	dbennett@nysci.org
David Bergandine	Education	Education and Outreach	MMLI	Institute Leadership	UIUC		dbergand@uni.illinois.edu	N/A
Edo Berger	Time-domain astrophysics, gravitational wave astrophysics, machine learning classification	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Professor	eberger@cfa.harvard.edu
Matthew John Berry	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Visual Analytics Manager	mjberry@illinois.edu	N/A
Angela Berti		All things administrative	TILOS	Managing Director/Program Manager	UC San Diego	Administrator	aberti@ucsd.edu
Elisa Bertino	Security, Machine Learning	4. AI-Powered Network Security	AI-EDGE	Co-PI of Grant	Purdue University	Professor	bertino@purdue.edu
Elisa Bertino			ACTION	Faculty Researcher			bertino@purdue.edu
Suma Bhat	Natural Language Processing, Human-Computer Interaction, Learning Analytics, Biomedical Language Processing, and Enhancing User Experience in Human-Technology Interaction	Synthetic Data for Data Privacy, Large Language Models and INVITE: Improving Engagement via Adaptive Analogy Generation, Shaping Collaborative Learning in STEM with NLP, Automatic detection of English idiomatic expressions in educational data – a pilot study	INVITE	Institute Leadership	Univerity of Illinois Urbana-Champaign	Assistant Professor	spbhat2@illinois.edu	Strand 1 (Data sets, foundational AI/ML)
Gautam Biswas			Engage AI	Co-PI of Grant			gautam.biswas@vanderbilt.edu
David Blei	Machine learning and Bayesian statistics	Funded project	ARNI	Faculty Researcher	Columbia	Professor of Statistics and of Computer Science	david.blei@columbia.edu
Ann Bostrom Bostrom	Risk perception and communication, decision making under risk and uncertainty, environmental policy	Co-Lead, Risk Communication research	AI2ES	Institute Leadership	University of Washington	Weyerhaeuser endowed Professor of Environmental Policy	abostrom@uw.edu	Ethics
Kristy Boyer	Artificial Intelligence in Education, Collaborative Sport Analytics, Dialogue Systems, Computer Science Education	An Adaptive Multimodal Framework for Robust Modeling of Collaborative Learning, Data Dictionary and AI/ML Tasks,	INVITE	Co-PI of Grant	University of Florida	Professor	keboyer@ufl.edu	Lead, Cross Strand
Corey Brady			Engage AI	Faculty Researcher			corey.brady@mail.smu.edu
Michael P. Brenner	Theoretical modeling in the physical sciences and engineering. Much of the work has arisen out of close contact with experimentalists, and efforts to develop quantitative descriptions of phenomena and experiments. Problems addressed have included the breaking of fluid droplets; sonoluminescence (the production of light from small bubbles); the sedimentation of small particles; device design in engineering; electrospinning (a materials technique for producing small fibers), etc. Current research directions range from figuring out the nature of the turbulent cascade, to understanding the rules for building materials that assemble themselves, possibly with life-like properties, to efforts to use recent advances in machine learning to facilitate scientific discovery.	Control; DEI	Dynamics AI	Faculty Researcher	Harvard University	Michael F. Cronin Professor of Applied Mathematics and Applied Physics, Professor of Physics	brenner@seas.harvard.edu
Steve Brown		Associate Director, Chief of staff (AIFS), PI for AIVO	AIFS	Managing Director/Program Manager	UC Davis	Associate Director	sfbrown@ucdavis.edu
Steven L. Brunton	Combining techniques in dimensionality reduction, sparse sensing, and machine learning for the data-driven discovery and control of complex dynamical systems	All thrusts; Curriculum & Education; Applications	Dynamics AI	Institute Leadership	University of Washington	Professor, Mechanical Engineering Adjunct Professor, Applied Mathematics	sbrunton@uw.edu
Martin Burke	Chemistry		MMLI	Co-PI of Grant	UIUC	May and Ving Lee Professor for Chemical Innovation, and Professor of Chemistry	mdburke@illinois.edu	N/A
Raúl Bayoán Cal	Turbulent Boundary Layers: Pressure Gradients, Surface Roughness, Upstream Conditions, Free-stream Turbulence; Wind Turbine Arrays /Boundary Layer Interaction; Laser-based Experimental Techniques		Dynamics AI	Faculty Researcher	Portland State University	Professor, Thermal & Fluid Science Group	rcal@pdx.edu
Constantine Caramanis	Machine Learning, Signal Processing, Networking	6. Network Operations for Distributed AI	AI-EDGE	Faculty Researcher	University of Texas at Austin	Professor	constantine@utexas.edu
Dan Carpenter			Engage AI	Managing Director/Program Manager			dcarpen2@ncsu.edu
Matt Carroll		Subaward Lead	AIIRA	Institute Leadership	Iowa Soybean Association	Analytics and Insights Lead	mcarroll@iasoybeans.com
Stephanie Carroll			AIIRA	Faculty Researcher	University of Arizona	Associate Research Professor	stephaniecarroll@arizona.edu
Berkay Celik			ACTION	Faculty Researcher			zcelik@purdue.edu
Gretchen Chapman	Social and Decision Sciences	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Department Head and Professor	gchapman@andrew.cmu.edu
Allison Chatrchyam			AI-CLIMATE	Extension and Outreach Thrust Leader	Cornell University	Research Associate & Adjunct Professor	amc256@cornell.edu
Snigdha Chaturvedi			Engage AI	Faculty Researcher			snigdha@cs.unc.edu
Pratik Chaudhari	Machine learning, robotics and computer vision	Funded project	ARNI	Faculty Researcher	Upenn	Assistant Professor of ESE	pratikac@seas.upenn.edu
Changyou Chen	Deep Generative Models and Reinforcement Learning	Self-supervised Robust Learning thrust	AI4ExceptionalEd	Faculty Researcher	University at Buffalo	Assistant Professor	changyou@buffalo.edu
Min Chi			Engage AI	Faculty Researcher			mchi@ncsu.edu
Howard Choset	Robotics	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Kavcic-Moura Professor	choset@andrew.cmu.edu
Kaushik Chowdhury	Networking, Machine Learning, Wireless Platform	2. AI-based Network Resource Allocation and Control 5. Network-Aware AI Operations	AI-EDGE	Institute Leadership	Northeastern University	Professor	krc@ece.neu.edu
Henrik Christensen	Robotics	Novel representations and algorithms for mixed discrete and continuous optimization problems inherent in multi-agent metric-semantic mapping (R1.1); Hierarchical semantic mapping at the edge (R1.2); Multi-robot mapping with disruptions in communication (R2.1); Efficient high-dimensional policy learning under complex dynamics (R3.1)	TILOS	Co-PI of Grant	UC San Diego	Distinguished Professor	hichristensen@ucsd.edu
Ike Chuang	Quantum information science; machine learning; trapped ion quantum computation	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Professor	ichuang@mit.edu
Fan Chung-Graham	Foundational research		TILOS	Faculty Researcher	UC San Diego	Distinguished Professor	fan@ucsd.edu
Nathan Colaner	Ethical issues involved in big data management and business use of artificial intelligence.	Ethics	Dynamics AI	Faculty Researcher	Seattle University	Program Director, Business Analytics Senior Instructor, Management	colanern@seattleu.edu
Silas Cook	Chemistry		MMLI	Faculty Researcher	Indiana		sicook@indiana.edu	N/A
David Crandall			Engage AI	Faculty Researcher			djcran@indiana.edu
Scott Crossley			AI-ALOE	Co-PI of Grant			scott.crossley@vanderbilt.edu
Breschine (Bree) Cummins	Mathematical biology; dynamics on networks; network science; mathematical modeling and simulations. My current work focuses on genetic networks and social networks. My previous work also includes applications in disease spread, ecology, agriculture, and climate change.	Modeling; Curriculum & Education	Dynamics AI	Faculty Researcher	Montana State University	Assistant Professor of Mathematics	breschine.cummins@montana.edu
John Patrick Cunningham	Machine learning, artificial intelligence, and computational neuroscience		ARNI	Faculty Researcher	Columbia	Professor of Statistics	jpc2181@columbia.edu
Dacian Daescu	Applied and computational mathematics and data-enabled science to analyze and predict the state of complex dynamical systems that are mathematically modeled by nonlinear ordinary differential equations (ODEs) or partial differential equations (PDEs) systems		Dynamics AI	Faculty Researcher	Portland State University	Professor of Mathematics	daescu@pdx.edu
Christopher Dancy		Researcher	AI-SDM	Faculty Researcher	Penn State University	Harold and Inge Marcus Industrial and Manufacturing Career Development Associate Professor	cdancy@psu.edu	Ethics
Joshua Danish			Engage AI	Faculty Researcher			jdanish@indiana.edu
Karthik Dantu	Multi-Robot, Embedded, and Mobile Systems	AI Embodiments thrust	AI4ExceptionalEd	Faculty Researcher	University at Buffalo	Associate Professor	kdantu@buffalo.edu
Phillip Davis			AI2ES	Institute Leadership	Del Mar College		pdavis@delmar.edu
Chris Dede			AI-ALOE	Co-PI of Grant			chris_dede@harvard.edu
Julie Demuth			AI2ES	Institute Leadership	Nat’l Center for Atmospheric Research		jdemuth@ucar.edu
Scott Denmark	Chemistry		MMLI	Co-PI of Grant	UIUC	Reynold C. Fuson Professor of Chemistry	sdenmark@illinois.edu	N/A
Will Detmold	Strong intereactions, nuclear physics, AI for simulations	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Professor	wdetmold@mit.edu
Ying Diao	Chemistry		MMLI	Co-PI of Grant	UIUC	Associate Professor	yingdiao@illinois.edu	N/A
Christine Diepenbrock	Comprehending and enhancing the nutritional quality and resilience to abiotic stress in staple and specialty crops	Molecular breeding projects	AIFS	Faculty Researcher	UC Davis	Assistant Professor, Assistant Plant Scientist	chdiepenbrock@ucdavis.edu
Dimitris Diochnos			AI2ES	Faculty Researcher	University of Oklahoma		diochnos@ou.edu
Liang Dong			AIIRA	Faculty Researcher	Iowa State University	Professor	ldong@iastate.edu
Cassandra Dorius			AIIRA	Faculty Researcher	Iowa State University	Assistant Professor	cdorius@iastate.edu
Shawn Dorius			AIIRA	Faculty Researcher	Iowa State University	Associate Professor	sdorius@iastate.edu
Chrisy Xiyu Du	Interested in soft materials design for the next generation. Currently, I use a combination of theoretical and computational tools ranging from information theory to particle based simulations to design building blocks that self-assemble into intricate structures and perform functions	Modeling	Dynamics AI	Faculty Researcher	University of Hawai‘i at Mānoa	Assistant Professor	xiyudu@hawaii.edu
Simon Du	Computer Science & Engineering	Researcher	AI-SDM	Faculty Researcher	University of Washington	Assistant Professor	ssdu@cs.washington.edu
Cora Dvorkin	Dark matter, inflation, CMB, gravitational lensing, galaxy clustering	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Professor	cdvorkin@g.harvard.edu
Mason Earles	Ag data modeling, AgML repository, sensor processing	Lead of Agricultural Production Cluster	AIFS	Co-PI of Grant	UC Davis	Assistant Professor	jmearles@ucdavis.edu
Imme Ebert-Uphoff	AI for weather and climate	UQ / XAI / Tropical Cyclones	AI2ES	Co-PI of Grant	Colorado State University	Research Professor	iebert@colostate.edu
Nafiseh Ebrahimi	Soft Robotics and Mechatronics applied in rehabilitation and medical device design	DEI Committee member, Education and Workforce Development Committee member, Funded Project	ARNI	Faculty Researcher	Virginia State University	Assistant Professor of Mechanical Engineering Technology	nebrahimi@vsu.edu
Daniel Eisenstein	Statistical cosmology, large-scale structure surveys	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Professor	deisenstein@cfa.harvard.edu
Elylem Ekici	Networking	2. AI-based Network Resource Allocation and Control	AI-EDGE	Institute Leadership	The Ohio State University	Professor	ekici.2@osu.edu
Tatiana Aloi Emmanouil	Cognitive and neural mechanisms of vision in humans	Funded Project	ARNI	Faculty Researcher	CUNY Graduate Center	Assistant Professor of Psychology	tatiana.emmanouil@baruch.cuny.edu
Alex Endert			AI-ALOE	Co-PI of Grant			endert@gatech.edu
Noel Enyedy			Engage AI	Faculty Researcher			noel.d.enyedy@vanderbilt.edu
Bruce Erickson			AI-CLIMATE	Extension and Outreach Thrust Leader	Purdue University	Agronomy Education Distance and Outreach Director	berickson@purdue.edu
Ozgur Eris	AI and Autonomy Innovation Center	Researcher/Outreach	AI-SDM	Faculty Researcher	MITRE	Managing Director	oeris@mitre.org
Atilla Eryilmaz	Networking, Machine Learning	6. Network Operations for Distributed AI	AI-EDGE	Institute Leadership	The Ohio State University	Professor	eryilmaz.2@osu.edu
David Evans			ACTION	Faculty Researcher			evans@virginia.edu
Andrew Fagg			AI2ES	Faculty Researcher	University of Oklahoma		ahfagg@gmail.com
Maryam Fazel	Optimization in Machine Learning and AI, Learning and Control, and Online/interactive and Reinforcement learning		Dynamics AI	Faculty Researcher	University of Washington	Moorthy Family Professor in ECE	mfazel@uw.edu
Nick Feamster			ACTION	Faculty Researcher			feamster@uchicago.edu
David Feil-Seifer	Socially Assistive Robotics (SAR)	AI Embodiments thrust	AI4ExceptionalEd	Co-PI of Grant	University of Nevada, Reno	Associate Professor	dave@cse.unr.edu
Tonya Fields			ACTION	Faculty Researcher			tlfields@nsu.edu
Douglas Finkbeiner	Interstellar dust, high-energy astrophysics, cosmology	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Professor	dfinkbeiner@cfa.harvard.edu
Michael Flor	Computational Linguistics, Psycholinguistics, Natural Language Processing Applications, Automated Text Scoring, and Text Complexity Analysis	Automatic detection of English idiomatic expressions in educational data – a pilot study, Literature review on NLP-supported Learner Models,	INVITE	Faculty Researcher	Educational Testing Services	Senior Research Scientist	mflor@ets.org	Strand 1 (Data sets, foundational AI/ML)
Mark Frank	Nonverbal Communication, Deception, Facial Action Coding	Multimodal Perception and Understanding thrust	AI4ExceptionalEd	Faculty Researcher	University at Buffalo	Professor	mfrank83@buffalo.edu
Bill Freeman	Mid-level vision, computational photography, black hole imaging	IAIFI Senior Investigator	IAIFI	Co-PI of Grant	MIT	Professor	billf@mit.edu
Lijiang Fu	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Assistant Research Uix Designer	lf3@illinois.edu	N/A
Stefano Fusi	Design technology inspired by the human brain	Robust & Flexible Learning Thrust co-Lead, Funded Project	ARNI	Faculty Researcher	Columbia	Professor of Neuroscience	sf2237@columbia.edu
David John Gagne			AI2ES	Institute Leadership	Nat’l Center for Atmospheric Research	Machine Learning Scientist II	dgagne@ucar.edu
Baskar Ganapathysubramanian		Director	AIIRA	PI of Grant	Iowa State University	Professor/Associate Director TrAC	baskarg@iastate.edu	AI for Ag
Sicun Gao	Computer chip design	Dynamic decisions under uncertainty (F4); Better search methods for derivative-free optimization (C2.1); Interior search for nonlinear SMT and applications in verification (C2.2)	TILOS	Faculty Researcher	UC San Diego	Associate Professor	sicung@ucsd.edu
Jie Gao			ACTION	Faculty Researcher			jg1555@rutgers.edu
Jeff Ginger	Digital Literacy and Inclusion, Community Informatics, Makerspace Education and Technology Integration, Participatory Design and Community Engagement, Informal STEM Learning and Development	Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members	INVITE	Faculty Researcher	Univerity of Illinois Urbana-Champaign	Research Scientist	ginger@illinois.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Maria Gini			AI-CLIMATE	Broadening Participation Thrust Leader	University of Minnesota	Professor, CSE Distinguished Professor, Distinguished University Teaching Professor	gini@umn.edu
Jess Gladstone	Achievement motivation, student engagement, expectancy-value theory	Measuring Persistence and Academic Resilience: Analytic Review and Operational Definition, The Impact of Pedagogical Agents on K-12 Learners, The Impact of Pedagogical Agents on Learners’ Motivation,	INVITE	Faculty Researcher	Univerity of Illinois Urbana-Champaign	Assistant Professor	jglads2@illinois.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Krista Glazewski			Engage AI	Faculty Researcher			kdglazew@ncsu.edu
Ashok Goel			AI-ALOE	PI of Grant			ashok.goel@cc.gatech.edu
Josh Gold	The purpose of his research is to establish a basic understanding of the neural mechanisms responsible for decision-making, adaptive behavior, and other aspects of higher brain function and in the longer term to translate this understanding into new approaches to understand, diagnose, and treat disorders of learning and cognition.	Education and Workforce Development Committee Chair, Funded Project	ARNI	Faculty Researcher	Upenn	Professor of Neuroscience	jigold@mail.med.upenn.edu
Christopher Golden	Nutrition and Planetary Health	Researcher	AI-SDM	Faculty Researcher	Harvard University	Associate Professor	golden@hsph.harvard.edu
Carla Gomes			AI-CLIMATE	Co Principal Investigator	Cornell University	Professor, Director of the Institute for Computational Sustainability	gomes@cs.cornell.edu
Cleotilde Gonzalez	Social and Decision Sciences	Researcher	AI-SDM	Co-PI of Grant	Carnegie Mellon University	Research Professor	coty@cmu.edu
Norman Gottron	Machine Learning	Superhero	AI-SDM	Managing Director/Program Manager	Carnegie Mellon University	Managing Director	ngottron@andrew.cmu.edu	PM
Venu Govindaraju	Document Analysis and Recognition, Artificial Intelligence	Multimodal Perception and Understanding thrust	AI4ExceptionalEd	PI of Grant	University at Buffalo	Vice President for Research and Economic Development, SUNY Distinguished Professor	govind@buffalo.edu
Elena Margherita Gratton			MMLI	Faculty Researcher	UIUC	VISITING RESEARCH SPECIALIST	elenamg@illinois.edu	N/A
Tom Griffiths	Inductive problems, such as probabilistic reasoning, learning causal relationships, acquiring and using language, and inferring the structure of categories	Continual Learning & Frontier Models Working Group co-Lead	ARNI	Faculty Researcher	Princeton	Professor of Psychology and Computer Science	tomg@princeton.edu
Lauren Griggs	Multicultural Engineering Program	Education/Outreach	AI-SDM	Outreach Lead	Penn State University	Director	lag5817@psu.edu
Shawn Haag			AI-CLIMATE	Executive Director	University of Minnesota	Executive Director	srhaag@umn.edu
Nick Haber	Reinforcement Learning, Multi-Agent Learning, AI Systems for Social Interaction in Early Childhood, Computer Vision	AI Embodiments thrust	AI4ExceptionalEd	Faculty Researcher	Stanford University	Assistant Professor	nhaber@stanford.edu
Pamela Hadley	Early Childhood Language Development and Disorders	Speech, Language, and Learning Science thrust	AI4ExceptionalEd	Co-PI of Grant	University of Illinois Urbana-Champaign	Professor and Department Head	phadley@illinois.edu
Jim Halverson	String theory, particle-cosmology, topology, RL, NN-QFT correspondence	IAIFI Senior Investigator	IAIFI	Co-PI of Grant	MIT	Associate Professor	j.halverson@northeastern.edu
Jiawei Han	Computer Science		MMLI	Faculty Researcher	UIUC	Michael Aiken Chair Professor	hanj@illinois.edu	N/A
Steve Harmon			AI-ALOE	Faculty Researcher			swharmon@gatech.edu
Phil Harris	Deep Learning based Hardware Acceleration, FPGAs, GPUs, Dark Matter, QCD and jet physics	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Associate Professor	pcharris@mit.edu
Mark Hasegawa-Johnson	Automatic Speech Recognition, Linguistic Concept Mathematization	Spoken Language Sample Analysis thrust	AI4ExceptionalEd	Faculty Researcher	University of Illinois Urbana-Champaign	Professor	jhasegaw@illinois.edu
Hamed Hassani	Foundational research	Federated learning (F2.2); Novel representations and algorithms for mixed discrete and continuous optimization problems inherent in multi-agent metric-semantic mapping (R1.1)	TILOS	Faculty Researcher	University of Pennsylvania	Associate Professor	hassani@seas.upenn.edu
Ruoying “Roy” He	Ocean Circulation Dynamics, Nuermical modeling, Data assimilation, AI/ML in Oceanography	Co-lead, coastal oceanography	AI2ES	Co-PI of Grant	North Carolina State University	Goodnight Innovation Distinguished Professor	rhe@ncsu.edu
Chinmay Hegde		Subaward Lead	AIIRA	Faculty Researcher	New York University	Associate Professor	chinmay.h@nyu.edu
Hoda Heidari	Ethics and Computational Technologies, Machine Learning	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	K&L Gates Career Development Assistant Professor	hheidari@cmu.edu	Ethics
Alison Hendricks	Natural Language Processing and Social Science	Speech, Language, and Learning Science thrust, Validation of Impacts	AI4ExceptionalEd	Faculty Researcher, Broader Impact Lead	University at Buffalo	Assistant Professor	ahendric@buffalo.edu
Ann Hermundstad	Combination of theory, modeling, and data analysis to explore how neural circuits can do this efficiently and flexibly		ARNI	Faculty Researcher	Janelia Research Campus	Group Leader	ann.hermundstad@gmail.com
Joao Hespanha			ACTION	Faculty Researcher			hespanha@ece.ucsb.edu
Aaron Hill			AI2ES	Faculty Researcher	University of Oklahoma		ahill@ou.edu
Julia Hirschberg	Prosody—intonation and melody—of speech, with the goal of teaching computers to understand subtle variations and reproduce them in natural-sounding speech	DEI Committee member	ARNI	Faculty Researcher	Columbia	Percy K. and Vida L. W. Hudson Professor of Computer Science	julia@cs.columbia.edu
Cindy Hmelo-Silver			Engage AI	Co-PI of Grant			chmelosi@indiana.edu
Michael Hoffmann			AI-ALOE	Institute Leadership			michael.hoffmann@pubpolicy.gatech.edu
Kathryn Hollar		Education/Outreach	AI-SDM	Outreach Lead	Harvard University	Director of Community Engagement and Diversity Outreach	hollar@seas.harvard.edu
Cameron Homeyer			AI2ES	Faculty Researcher	University of Oklahoma		chomeyer@ou.edu
Mary Ann Hoppa			ACTION	Faculty Researcher			mahoppa@nsu.edu
Rodney Hopson	Evaluation, ethnography, sociolinguistics, comparative educational reform, Namibia and southern Africa		INVITE	Institute Leadership	American University	Acting Co-Dean & Professor	rhopson@american.edu	Evaluation
Yun Huang	Human-Computer Interaction, Social Computing, Conversational Agents	Human Centered Design for AI thrust	AI4ExceptionalEd	Faculty Researcher	University of Illinois Urbana-Champaign	Associate Professor	yunhuang@illinois.edu
Xiaoming Huo			ACTION	Faculty Researcher			huo@gatech.edu
Stratis Ioannidis	Networking, Machine Learning	2. AI-based Network Resource Allocation and Control 3. Multi-Agent Network Resource Allocation and Control 5. Network-Aware AI Operations 8. Security and Privacy of Network Users	AI-EDGE	Institute Leadership	Northeastern University	Professor	ioannidis@ece.neu.edu
Maya Israel	K-12 computational thinking, computer science, artificial intelligence education, Universal Design for Learning	Review of Evidence-based Strategies for Whole-Learner Support, Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members,	INVITE	Institute Leadership	University of Florida	Associate Professor	misrael@coe.ufl.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Elias Issa	Cortical processing across levels of understanding from neurons to computation to behavior	Funded Project	ARNI	Faculty Researcher	Columbia	Neuroscience	elias.issa@columbia.edu
Renata Ivanek	Food safety	Cornell site lead	AIFS	Faculty Researcher	Cornell University	Professor	ri25@cornell.edu
Nick Jackson	Chemistry		MMLI	Faculty Researcher	UIUC	Assistant Professor	jacksonn@illinois.edu	N/A
Lucas B Janson	High-dimensional inference and statistical machine learning	Control; Workforce and Industry Development	Dynamics AI	Faculty Researcher	Harvard University	Associate Professor of Statistics and Affiliate in Computer Science	ljanson@fas.harvard.edu
Tara Javidi	Communication networks	Sequential learning and decision making in time-evolving network processes (N1.2); Empirical network optimization via gaussian process optimization (N2.1); Empirical network optimization via non-uniform sampling (N2.2); Data-driven adaptive reward function design and network models (N2.3)	TILOS	Co-PI of Grant	UC San Diego	Professor	tjavidi@ucsd.edu
Shatha Jawad	Data science education	AI, ML, and optimization course developement	TILOS	Faculty Researcher	National University	Associate Professor	sjawad@nu.edu
Vivek Jayaraman	Establishing causal links between the dynamics of neural circuits and the behavioral decisions that an animal continuously makes as it navigates a multi-sensory world. We aim to uncover how the relevant neural representations and dynamics arise and what specific role they play in shaping adaptive behavior		ARNI	Faculty Researcher	Janelia Research Campus	Senior Group Leader and Head of Mechanistic Cognitive Neuroscience	vivek@janelia.hhmi.org
Priyanka Jayashankar			AIIRA	Faculty Researcher	Iowa State University	Adjunct Assistant Professor	priyanka@iastate.edu
Stefanie Jegelka	Foundational research	Learning and optimization (F1.3)	TILOS	Faculty Researcher	MIT	Associate Professor	stefje@csail.mit.edu
Heng Ji	Computer Science		MMLI	Faculty Researcher	UIUC	Professor	hengji@illinois.edu	N/A
Heng Ji	Natural Language Processing, Information Extraction, Knowledge Base Population	Advanced Recommendation Engine for AI Orchestrator thrust	AI4ExceptionalEd	Faculty Researcher	University of Illinois Urbana-Champaign	Professor	hengji@illinois.edu
Nan Jiang	Machine Learning	2. AI-based Network Resource Allocation and Control	AI-EDGE	Faculty Researcher	University of Illinois, Urbana-Champaign	Assistant Professor	nanjiang@illinois.edu
Yufang Jin	Terretrial remote sensing and its applications in global environmental change and precision agriculture challenges.	Remote sensing	AIFS	Faculty Researcher	UC Davis	Professor of Remote Sensing and Ecosystem Change	yujin@ucdavis.edu
Zhenong Jin			AI-CLIMATE	Research Thrust Leader	University of Minnesota	Assistant Professor	jinzn@umn.edu
Emmanuel Johnson	Virtual Agents, Artificial Intelligence, AI in Education, Intelligent Tutoring Systems	Shaping Collaborative Learning in STEM with NLP, Pedagogical Agent Toolkit Development, The Impact of Pedagogical Agents on K-12 Learners	INVITE	Faculty Researcher	University of Florida	Assistant Professor	edorley@ufl.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Aditya Johri		Subaward Lead	AIIRA	Faculty Researcher	George Mason University	Professor	johri@gmu.edu
Meredith Jones	N/A	N/A	AI4ExceptionalEd	Project Administrator	University at Buffalo	Project Administrator	mjones36@buffalo.edu	AIVO Project Management
Gauri Joshi	Networking, Machine Learning, Information Theory	5. Network-Aware AI Operations	AI-EDGE	Co-PI of Grant	Carnegie Mellon University	Associate Professor	gaurij@andrew.cmu.edu
David Joyner			AI-ALOE	Faculty Researcher			david.joyner@gatech.edu
Andrew Kahng	Computer chip design	Modern partitioning (C1.2); Nexus of sampling, sequential decision-making, L2O and cloud (C1.3); Artificial netlist generation (C4.1); Roadmapping of CAD optimizations (C4.2); Ethical and fair benchmarking (C4.3)	TILOS	Faculty Researcher	UC San Diego	Distinguished Professor	abk@ucsd.edu
Sham Kakade	Computer Science, Statistics	Researcher	AI-SDM	Faculty Researcher	Harvard University	Gordon McKay Professor	sham@seas.harvard.edu
Sandeep Kakar			AI-ALOE	Faculty Researcher			sandeep.kakar@gatech.edu
Ruth Kanfer			AI-ALOE	Faculty Researcher			rkanfer@gatech.edu
Jina Kang	Learning Analytics, Educational data mining, Immersive learning, Game-based learning, Collaborative problem-solving	Building a baseline for understanding collaborative knowledge-building of K-12 students in an immersive collaborative learning environment, Shaping Collaborative Learning in STEM with NLP, An Adaptive Multimodal Framework for Robust Modeling of Collaborative Learning, Drilling Down on Collaboration: Identifying and Defining INVITE’s 3rd NCS	INVITE	Faculty Researcher	Univerity of Illinois Urbana-Champaign	Assistant Professor	jinakang@illinois.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
George Kantor	Robotics	Subaward Lead	AIIRA	Co-PI of Grant	Carnegie Mellon University	Research Professor/Associate Director of Education	gcantor@andrew.cmu.edu
Mohammad Heidari Kapourchali	Reliability and resiliency modeling of critical infrastructures (e.g. cyber-physical, power-water, etc.); data analytics and decision-making under uncertainty; renewable energy integration and micro-grids; and energy grid automation.		Dynamics AI	Faculty Researcher	University of Alaska Anchorage	Assistant Professor	mhkapourchali@alaska.edu
Amin Karbasi	Foundational research	Continuous representation of discrete problems (F1.2); Dynamic decisions under uncertainty (F4)	TILOS	Faculty Researcher	Yale	Associate Professor	amin.karbasi@yale.edu
Julie Kientz	Human-Computer Interaction, Interaction Design and Children	Human Centered Design for AI thrust	AI4ExceptionalEd	Co-PI of Grant	University of Washington	Professor and Chair	jkientz@uw.edu
Min Kyu Kim			AI-ALOE	Faculty Researcher			mkim120@gsu.edu
Scott King			AI2ES	Faculty Researcher	Texas A&M University – Corpus Christi		scott.king@tamucc.edu
Zhaodan Kong	Engineering and understanding collaborative autonomy and assured autonomy	Control theory, artificial intelligence, formal methods, and cognitive science.	AIFS	Faculty Researcher	UC Davis	Associate Professor	zdkong@ucdavis.edu
Farinaz Koushanfar	Communication networks; computer chip design	Open-source data anonymity (C3.1); Ensuring the integrity of training data (C3.2); Privacy (C3.3)	TILOS	Faculty Researcher	UC San Diego	Professor	fkoushanfar@ucsd.edu
Samory Kpotufe	Statistical machine learning, with an emphasis on common nonparametric methods	Funded Project	ARNI	Faculty Researcher	Columbia	Associate Professor of Statistics	skk2175@columbia.edu
Niko Kriegeskorte	Deep neural networks, a brain-inspired artificial intelligence technology, to build computer models that can see and recognize objects in ways that are similar to biological visual systems	Multi-resource Cost Optimization of Neural Network Models Working Group Lead, Funded Project	ARNI	Faculty Researcher	Columbia	Professor of Psychology and of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute); Director of Cognitive Imaging in the Mortimer B. Zuckerman Mind Brain Behavior Institute	nk2765@columbia.edu
Adarsh Krishnamurthy			AIIRA	Faculty Researcher	Iowa State University	Associate Professor	adarsh@iastate.edu
Oliver Kroemer			AIIRA	Faculty Researcher	Carnegie Mellon University	Assistant Professor	okroemer@andrew.cmu.edu
Windi Krok	Developmental Language Disorders and Disabilities, Language Science	Speech, Language and Learning Science thrust	AI4ExceptionalEd	Faculty Researcher	Purdue University	Clinical Assistant Professor	wkrok@purdue.edu
Christopher Kruegel			ACTION	Institute Leadership			chris@cs.ucsb.edu
Vijay Kumar	Robotics	Novel representations and algorithms for mixed discrete and continuous optimization problems inherent in multi-agent metric-semantic mapping (R1.1); Multi-robot mapping with disruptions in communication (R2.1); Multi-robot perception, action and communication (R2.2)	TILOS	Institute Leadership	University of Pennsylvania	Professor	kumar@seas.upenn.edu
Vipin Kumar			AI-CLIMATE	Co Principal Investigator	University of Minnesota	Professor, Chair in Large-Scale Computing, Data Science Initiative Director	kumar001@umn.edu
Matthew Kupilik			Dynamics AI	Faculty Researcher	University of Alaska Anchorage	Associate Professor	mkupilik@alaska.edu
Jim Kurose	Networking	3. Multi-Agent Network Resource Allocation and Control	AI-EDGE	Co-PI of Grant	University of Massachusetts Amherst	Professor	kurose@cs.umass.edu
J. Nathan Kutz	Complex systems and data analysis where machine learning can be integrated with dynamical systems and control for a diverse set of applications	All thrusts; Workforce and Industry Development	Dynamics AI	Institute Leadership	University of Washington	Professor, Applied Mathematics Adjunct Professor, Electrical and Computer Engineering Adjunct Professor, Mechanical Engineering Adjunct Professor, Physics	kutz@uw.edu	AIVO Natural and Physical Sciences
John Lafferty	Machine learning, including computational and statistical aspects of learning algorithms and high-dimensional data, modeling human language, and a recent focus on applications in neuroscience	Funded Project	ARNI	Faculty Researcher	Yale	Professor of Statistics & Data Science	john.lafferty@yale.edu
Marisa LaFleur		IAIFI Project Manager	IAIFI	Managing Director/Program Manager	MIT	IAIFI Project Manager	mlafleur@mit.edu
Sara Lambert	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Research Programmer	lambert8@illinois.edu	N/A
Stephan Lane	N/A		MMLI	Institute Leadership	UIUC	Biofoundry Manager	slane20@illinois.edu	N/A
Chad Lane	Technology-enhanced learning, artificial intelligence in education, educational games, informal science education, pedagogical agents, science of interest, cognitive and emotional engagement	Review of Evidence-based Strategies for Whole-Learner Support	INVITE	PI of Grant	Univerity of Illinois Urbana-Champaign	Associate Chair & Associate Professor	hclane@illinois.edu	Lead, Cross Strand
Lauren Lederer	N/A	Curriculum & Education; DEI	Dynamics AI	Managing Director/Program Manager	University of Washington	Administrator of Program Operations	llederer@uw.edu	AIVO Travel Grants
Wenke Lee			ACTION	Co-PI of Grant			wenke@cc.gatech.edu
Anne Leftwich			Engage AI	Faculty Researcher			aleftwic@indiana.edu
Blair Lehman	Artificial Intelligence in Education, Student Emotions and Learning, Conversation-Based Assessments, Mobile-Assisted Language Learning, and Task Design for Educational Activities	A Review of Current Approaches to Integrated User Modeling, Exploratory Data Modeling of Persistence, Drilling Down on Collaboration: Identifying and Defining INVITE’s 3rd NCS, Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members, Measuring Persistence and Academic Resilience: Analytic Review and Operational Definition	INVITE	Institute Leadership	Educational Testing Services	Associate Research Scientist	blehman@ets.org	Strand 2 (Learner Modeling)
Johannes Lehmann			AI-CLIMATE	Co Principal Investigator	Cornell University	Professor	cl273@cornell.edu
Paul Lehner		Researcher	AI-SDM	Faculty Researcher	MITRE	Consulting Scientist	plehner@mitre.org
Danielle Lemay		USDA-ARS WHNC Site Lead, Lead of Nutrition Cluster	AIFS	Institute Leadership	USDA-ARS WHNC	Research Molecular Biologist, USDA ARS WHNRC Associate Adjunct Professor	dglemay@ucdavis.edu
Melvin Leok	Foundational research	Dynamic decisions under uncertainty (F4)	TILOS	Faculty Researcher	UC San Diego	Professor	mleok@ucsd.edu
James Lester			Engage AI	PI of Grant			lester@ncsu.edu
Sarah Ita Levitan	Natural Language Processing Speech Processing Computational Linguistics Dialogue Paralinguistics	DEI Committee Member, Funded Project	ARNI	Faculty Researcher	CUNY Graduate Center	Assistant Professor in Computer Science and Linguistics	sarah.levitan@hunter.cuny.edu
Colleen Lewis	Computer Science Education, Computing Education, Computer Science Education Research		INVITE	Faculty Researcher	Univerity of Illinois Urbana-Champaign	Associate Professor	colleenl@g.illinois.edu	Broadening Participation & Community Engagement
Lan (Samantha) Li	Nuclear materials, electronic materials, quantum computing, and data science to accelerate materials discovery		Dynamics AI	Faculty Researcher	Boise State Univesity	Associate Professor	lanli@boisestate.edu
Na Li	Control, learning, and optimization of networked systems, including theory development, algorithm design, and applications to real-world cyber-physical systems, such as energy systems, buildings, multi-robots, bio-medical systems, etc.	Control; Workforce and Industry Development	Dynamics AI	Co-PI of Grant	Harvard University	Gordon McKay Professor of Electrical Engineering and Applied Mathematics	nali@seas.harvard.edu
Ninghui Li			ACTION	Faculty Researcher			ninghui@purdue.edu
Bo Li			ACTION	Faculty Researcher			lbo@illinois.edu
Yingbin Liang	Machine Learning, Signal Processing, Information Theory	2. AI-based Network Resource Allocation and Control 3. Multi-Agent Network Resource Allocation and Control 5. Network-Aware AI Operations	AI-EDGE	Institute Leadership	The Ohio State University	Professor	liang.889@osu.edu
Zhiqiang Lin	Security, Machine Learning	4. AI-Powered Network Security 8. Security and Privacy of Network Users	AI-EDGE	Institute Leadership	The Ohio State University	Professor	zlin@cse.ohio-state.edu
Robb Lindgren	Embodied Learning and Interaction, Design and Evaluation of Educational Technologies, Augmented and Mixed Reality in STEM Education, Cognitive and Learning Sciences in Technology Integration, Interdisciplinary Research in Learning Technologies	Shaping Collaborative Learning in STEM with NLP, Drilling Down on Collaboration: Identifying and Defining INVITE’s 3rd NCS	INVITE	Faculty Researcher	Univerity of Illinois Urbana-Champaign	Associate Professor	robblind@illinois.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Hod Lipson	Robotics, AI, Digital Manufacturing, 3D Printing	Modeling; Workforce and Industry Development	Dynamics AI	Co-PI of Grant	Columiba University	Prof. of Mechanical Engineering and Data Science, Columbia University in NYC	hod.lipson@columbia.edu
Ashok Litwin-Kumar	Learning algorithms and their neural implementations. How do organisms use their past experiences to adapt their current behavior? How do these neural algorithms compare to those studied in machine learning and artificial intelligence? We approach these questions by working closely with experimental collaborators and building well-constrained models of learning and synaptic plasticity.	DEI Committee Member, REU mentor	ARNI	Faculty Researcher	Columbia	Assistant Professor of Neuroscience	ak3625@columbia.edu
Xin Liu	Explainable AI, federated learning	Foundational AI cluster lead, leads AI Bridge bootcamp	AIFS	Co-PI of Grant	UC Davis	Professor	xinliu@ucdavis.edu
Jia Liu	Networking, Machine Learning	5. Network-Aware AI Operations 6. Network Operations for Distributed AI 8. Security and Privacy of Network Users	AI-EDGE	Institute Leadership	The Ohio State University	Assistant Professor	liu.1736@osu.edu	Project Management
Mingyan Liu	Networking, Machine Learning	3. Multi-Agent Network Resource Allocation and Control	AI-EDGE	Institute Leadership	University of Michigan	Professor	mingyan@umich.edu
Bing Liu			ACTION	Faculty Researcher			liub@uic.edu
Alexis Lopez	Skills and Expertise, Content Assessment, classroom assessment, Bilingualism Language Assessment, english learners	Exploratory Data Modeling of Persistence	INVITE	Faculty Researcher	Educational Testing Services	Senior Research Scientist	alopez@ets.org	Strand 2 (Learner Modeling)
Daniel Lowd	Machine Learning, Data Mining, Artificial Intelligence, Statistical Models for Learning and Inference, and Adversarial Machine Learning	Data Dictionary and AI/ML Tasks, Synthetic Data for Data Privacy	INVITE	Institute Leadership	University of Oregon	Associate Professor	lowd@uoregon.edu	Strand 1 (Data sets, foundational AI/ML)
Yung-Hsiang Lu			ACTION	Faculty Researcher			yunglu@purdue.edu
Collin Lynch			Engage AI	Faculty Researcher			cflynch@ncsu.edu
Yian Ma	Foundational research	Dynamic decisions under uncertainty (F4)	TILOS	Faculty Researcher	UC San Diego	Assistant Professor	yianma@ucsd.edu
Christopher MacLellan			AI-ALOE	Faculty Researcher			cmaclellan3@gatech.edu
Pratyusha Maiti			AI-ALOE	Faculty Researcher			pmaiti6@gatech.edu
Maia Majumder	Computational Health Informatics	Researcher	AI-SDM	Faculty Researcher	Boston Chldren’s Hospital / Harvard Medical School	Assistant Professor	Maimuna.Majumder@childrens.harvard.edu
Simo Makiharju	High-Reynolds number single- and multiphase flows	Food processing engineering	AIFS	Faculty Researcher	UC Berkeley	Assistant Professor	makiharju@berkeley.edu
Aditi Mallavarapu	Data mining, Machine Learning, Artificial Intelligence for Human-Computer Interaction (HCI) and Learning Sciences.	Cloud-based open source data repository and model sharing platform	INVITE	Faculty Researcher	Univerity of Illinois Urbana-Champaign	Post Doc	amalla5@illinois.edu	Cross Strand
Krithika Manohar	Developing algorithms for data-driven prediction and control of complex dynamical systems. Her work uses dimensionality reduction techniques rooted in operator theory and manifold learning to discover physically meaningful features from data, and optimize sensors and actuators for downstream decision-making (sparse sensing). Target applications of sparse sensing optimization include fluid flow reconstruction, control, image recovery, and aircraft manufacturing. She is also interested in sparse sensing and forecasting in the context of partially observed multiscale systems, which commonly occur in fluid dynamics, materials science, and biology.	Sensing & Optimization; DEI	Dynamics AI	Co-PI of Grant	University of Washington	Assistant Professor, Mechanical Engineering Adjunct Professor, Applied Mathematics	kmanohar@uw.edu
Costas Maranas	Chemistry		MMLI	Institute Leadership	PSU	Donald B. Broughton Professor	cdm8@psu.edu	N/A
Noboru Matsuda			Engage AI	Faculty Researcher			noboru.Matsuda@ncsu.edu
Arya Mazumdar	Foundational research	Parallelization (F2.1); Federated learning (F2.2)	TILOS	Co-PI of Grant	UC San Diego	Associate Professor	amazumdar@ucsd.edu
Scott McCalla	Applied dynamical systems, pattern forming partial differential equations, and social and crime modeling	Modeling; Workforce and Industry Development	Dynamics AI	Faculty Researcher	Montana State University	Associate Professor	scott.mccalla@montana.edu
Amy McGovern			AI2ES	PI of Grant	University of Oklahoma		amcgovern@ou.edu
Keith McGreggor			AI-ALOE	Faculty Researcher			keith.mcgreggor@gatech.edu
Kenton McHenry	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Associate Director for Software	mchenry@illinois.edu	N/A
Kathleen McKeown	Natural language processing, summarization, natural language generation and analysis of social media	Executive committee member, Language and Vision Thrust Lead, DEI committee Chair, Continual Learning and Frontier Models working group lead, funded research project	ARNI	Co-PI of Grant	Columbia	Henry and Gertrude Rothschild Professor of Computer Science	kathy@cs.columbia.edu
Hedda Meadan-Kaplansky	Social-Communication Skills, Developmental Behavioral Disabilities	Speech, Language, and Learning Science thrust	AI4ExceptionalEd	Faculty Researcher	University of Illinois Urbana-Champaign	Professor	meadan@illinois.edu
F. Antonio Medrano			AI2ES	Faculty Researcher	Texas A&M University – Corpus Christi		antonio.medrano@tamucc.edu
Lena Mei	Higher education		ARNI	Managing Director/Program Manager	Columbia	Outreach Program Manager	lm3440@columbia.edu
Tommaso Melodia	Networking, Machine Learning, Wireless Platform	1. Re-Engineering the Physics/Constraints 2. AI-based Network Resource Allocation and Control	AI-EDGE	Institute Leadership	Northeastern University	Professor	melodia@northeastern.edu
Nirav Merchant		Subaward Lead	AIIRA	Faculty Researcher	University of Arizona	Director Data Science Institute	nirav@email.arizona.edu
Nima Mesgarani	Identify and model the representational and computational characteristics of the brain regions involved in naturalistic speech communication. Our understanding of how this process works is fragmentary because we do not yet have a complete model of the underlying neurophysiological mechanisms enabling this cognitive ability		ARNI	Faculty Researcher	Columbia	Associate Professor of Electrical Engineering	nima@ee.columbia.edu
Ken Miller	Theoretical Neuroscience	Executive commitee member, Neural Mechanism Thrust lead	ARNI	Institute Leadership	Columbia	Peter Taylor Professor of Neuroscience at the Mortimer B. Zuckerman Mind Brain Behavior Institute	kdm2103@columbia.edu
Carol Miller	Atypical Language Development and Processing	Speech, Language, and Learning Science thrust	AI4ExceptionalEd	Faculty Researcher	Pennsylvania State University	Professor	cam47@psu.edu
Kenrick Mock	Artificial intelligence, complex systems, computer security, eye tracking, systems modeling, and computer science education		Dynamics AI	Faculty Researcher	University of Alaska Anchorage	Dean and Professor Computer Science & Engineering	kjmock@alaska.edu
Aryan Mokhtari	Machine Learning, Signal Processing	5. Network-Aware AI Operations	AI-EDGE	Faculty Researcher	University of Texas at Austin	Assistant Professor	mokhtari@austin.utexas.edu
Ole Molvig			Engage AI	Faculty Researcher			ole.molvig@vanderbilt.edu
Khalid Mosalam	Large-scale computations and experiments, including hybrid simulation, and building energy efficiency and sustainability	Indoor/vertical/pod farming engineering	AIFS	Faculty Researcher	UC Berkeley	Professor	khmosalam@berkeley.edu
Mark Mueller	Drones and data collection	Mechanical engineering related to drones	AIFS	Faculty Researcher	UC Berkeley	Associate Professor	mwm@berkeley.edu
Nathan Mueller			AI-CLIMATE	Integration Thrust Leader	Colorado State University	Associate Professor	nathan.mueller@rams.colostate.edu
David Mulla			AI-CLIMATE	Co Principal Investigator	University Of Minnesota	Professor,Chair in Soil and Water Resources Director of the Precision Agriculture Center	mulla003@umn.edu
Robin Murphy	Computer Science & Engineering	Researcher	AI-SDM	Faculty Researcher	Texas A&M	Raytheon Professor	robin.r.murphy@tamu.edu
John Murray	Neural circuit dynamics; cognitive functions such as decision making and working memory; reinforcement learning; neuro-AI; and computational psychiatry. We develop modeling and data-analytic approaches, frequently in collaboration with experimentalists		ARNI	Faculty Researcher	Yale	Associate Professor Adjunct of Psychiatry	john.murray@yale.edu
Spyros Mylonas	Higher education strategy, education/outreach program development, Museum-based activities		ARNI	Managing Director/Program Manager	Columbia	Managing Director	sm5652@columbia.edu	Project Management, AIVO Travel Grants Committee
Aditya G. Nair	Computational fluid dynamics, Unsteady aerodynamics, Fluid-structure interaction, Data-driven modeling and control	Control; Modeling; Curriculum & Education	Dynamics AI	Faculty Researcher	University of Nevada, Reno	Assistant Professor	adityan@unr.edu
Ajay Nair			AIIRA	Faculty Researcher	Iowa State University	Professor and Department Chair	nairajay@iastate.edu
Vrinda Nandan			AI-ALOE	Faculty Researcher			vrinda@gatech.edu
Srinivasa Narasimhan			AIIRA	Faculty Researcher	Carnegie Mellon University	Professor	srinivas@andrew.cmu.edu
Lina Necib	Dark Matter, Galaxy Formation, Local Universe	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Assistant Professor	lnecib@mit.edu
John J. Nelson Nelson			AI2ES	Faculty Researcher	Del Mar College		jnelson1@delmar.edu
Sree Nilakanta			AIIRA	Faculty Researcher	Iowa State University	Associate Professor	nilakant@iastate.edu
Nitin Nitin	Pathogen detection, digital twins, food processing, nutrition pathways	Food processing cluster lead	AIFS	Co-PI of Grant	UC Davis	Department Vice-Chair, Professor	nnitin@ucdavis.edu
Dewan Noor	Deep LearningComputer VisionMachine Learning	DEI Committee Member, Education and Outreach Partner of ARNI at Tuskegee University	ARNI	Faculty Researcher	Tuskegee	Assistant Professor	dnoor@tuskegee.edu
Rob Nowak	Machine Learning, Signal Processing, Networking	7. Humans, AI, and Network Research at the Interface	AI-EDGE	Co-PI of Grant	University of Wisconsin-Madison	Professor	rdnowak@wisc.edu
Rebecca Nugent	Statistics and Data Science	Education/Outreach	AI-SDM	Faculty Researcher	Carnegie Mellon University	Department Head and Stephen E. and Joyce Fienberg Professor	rnugent@stat.cmu.edu
Santiago Nunez-Corrales	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Research Programmer	nunezco2@illinois.edu	N/A
Ifeoma Nwogu	Human Behavior Modeling	Multimodal Perception and Understanding thrust, Community Outreach	AI4ExceptionalEd	Faculty Researcher, Broader Impact Lead	University at Buffalo	Associate Professor	inwogu@buffalo.edu
Dorcas Ofori-Boateng	Advancing statistical foundations for data science, particularly, topological and geometric methods for statistical inference, applied topological data analysis and tensor algebra in conjunction with network studies, image processing and spatio-temporal modeling		Dynamics AI	Faculty Researcher	Portland State University	Assistant Professor Fariborz Maseeh Mathematics and Statistics	doforib2@pdx.edu
Rose A. Ogutu			AI-CLIMATE	Broadening Participation Thrust Leader	Delaware State University	Horticulture Specialist, Delaware State University and Carnegie African Diaspora Fellow	rogutu@desu.edu
Sewoong Oh	Networking, Machine Learning, Information Theory	1. Re-Engineering the Physics/Constraints 8. Security and Privacy of Network Users	AI-EDGE	Institute Leadership	University of Washington	Professor	sewoong@cs.washington.edu
Sewoong Oh			ACTION	Faculty Researcher			sewoong@cs.washington.edu
Abbie Olszewski	Speech-Language Pathology Clinical Skill Development	Speech, Language, and Learning Science thrust	AI4ExceptionalEd	Faculty Researcher	University of Nevada, Reno	Professor, Clinical Supervisor	aolszewski@med.unr.edu
Bence Olveczky	Principles and mechanisms by which neural circuits acquire and generate complex behaviors. We are using the rodent as a model system, concentrating our efforts on understanding the process of motor sequence learning	Funded Project, Animal Behavior Video Analysis Working Group Member	ARNI	Faculty Researcher	Havard	Professor of Organismic and Evolutionary Biology	olveczky@fas.harvard.edu
Mari Ostendorf	Natural Language Processing, Automatic Speech Recognition, Computational Modeling of Prosody	Spoken Language Sample Analysis thrust	AI4ExceptionalEd	Faculty Researcher	University of Washington	Professor	vpresearch@uw.edu
Chaohua Ou			AI-ALOE	Managing Director/Program Manager			cou@gatech.edu
David Pan	Computer chip design	Optimal embedding (C1.1)	TILOS	Faculty Researcher	UT Austin	Professor	dpan@ece.utexas.edu
Liam Paninski	Statistics and Nueuroscience	Executive commitee member, Neural Mechanisms Thrust co-Lead, funded research project, Animal Behavior Video Analysis working group lead	ARNI	Co-PI of Grant	Columbia	Professor of Statistics and Neuroscience; Principal Investigator at Columbia’s Zuckerman Institute	liam@stat.columbia.edu
Christos Papadimitriou	Theory of algorithms and complexit	Executive commitee member, Language and Vision Thrust co-Lead, funded project	ARNI	Co-PI of Grant	Columbia	Donovan Family Professor of Computer Science; Provost’s Senior Faculty Teaching Scholar	christos@columbia.edu
Nikos Papanikolopoulos			AI-CLIMATE	Co Principal Investigator	University of Minnesota	Professor, Computer Science & Engineering Institute Director and Director of Graduate Studies, MnRI	papan001@umn.edu
Luc Paquette	Educational Data Mining, Learning Analytics, Cognitive Modeling, Student Behavior Modeling, Digital Learning Environments, Exploratory Data Modeling of Persistence	Data Dictionary and AI/ML Tasks, A Review of Current Approaches to Integrated User Modeling, Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members,	INVITE	Institute Leadership	Univerity of Illinois Urbana-Champaign	Associate Professor	lpaq@illinois.edu	Strand 2 (Learner Modeling)
Philip Pardey			AI-CLIMATE	Collaboration Nexus Thrust Leader	University of Minnesota	Professor	ppardey@umn.edu
Srinivasan Parthasarathy	Networking, Machine Learning	1. Re-Engineering the Physics/Constraints 5. Network-Aware AI Operations 7. Humans, AI, and Network Research at the Interface	AI-EDGE	Institute Leadership	The Ohio State University	Professor	srini@cse.ohio-state.edu
Ankit Patel	Current work tries to shed new light on the successes (and shortcomings) of techniques in modern Deep Learning	Industry Outreach & Knowledge Transfer Committee member	ARNI	Faculty Researcher	Baylor College of Medicine	Assistant Professor	abp4@rice.edu
Robert Paton	Chemistry		MMLI	Faculty Researcher	CSU	Marshall Fixman & Branka Ladanyi Professor	robert.paton@colostate.edu	N/A
Keith Paustian			AI-CLIMATE	Co Principal Investigator	Colorado State University	Distinguished Professor, Senior Research Scientist	Keith.Paustian@colostate.edu
Ron Payne	N/A		MMLI	Managing Director/Program Manager	UIUC	Managing Director	rpayne@illinois.edu	N/A
Jamie Payton	Computing education, pervasive computing, wearable computing, software engineering		INVITE	Co-PI of Grant	Temple University	Chair & Professor	payton@temple.edu	Broadening Participation & Community Engagement
Chunyi Peng	Networking, Machine Learning, Wireless Platform	3. Multi-Agent Network Resource Allocation and Control 4. AI-Powered Network Security 7. Humans, AI, and Network Research at the Interface	AI-EDGE	Institute Leadership	Purdue University	Associate Professor	chunyi@purdue.edu
Toniann Pitassi	Computational complexity theory	DEI Committee Member, Funded Project	ARNI	Faculty Researcher	Columbia	Jeffrey L. and Brenda Bleustein Professor of Engineering	tp2684@columbia.edu
Xaq Pitkow	Algorithmic brain	ARNI Associate DIrector, Executive Commitee member, Robust & Flexible Learning Thrust co-lead, Education and Workforce Development Committee member, Funded project, ARNI Outreach Lead for NY Hall of Science and Neuromatch Academy	ARNI	Co-PI of Grant	Carnegie Mellon University	Associate Professor of Computational Neuroscience	xpitkow@andrew.cmu.edu
Nancy Pollard			AIIRA	Faculty Researcher	Carnegie Mellon University	Professor	npollard@andrew.cmu.edu
Radha Poovendran			ACTION	Faculty Researcher			rp3@uw.edu
Alireza Pourreza	Agricultural Mechanization, Remote Sensing and GIS, Machine Vision, Agricultural Robotics and Automation, Big Data, and Hyperspectral/Multispectral Imaging	Precisioni ag/ hyperspectral	AIFS	Faculty Researcher	UC Davis	Associate Professor of Cooperative Extension	apourreza@ucdavis.edu
Ariel Procaccia	Computer Science	Researcher	AI-SDM	Co-PI of Grant	Harvard University	Gordon McKay Professor	arielpro@seas.harvard.edu
Sasha Rakhlin	Machine learning, mathematical statistics, online learning	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Professor	rakhlin@mit.edu
Aaditya Ramdas	Machine Learning, Statistics and Data Science	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Assistant Professor	aramdas@cmu.edu
Monsuru Ramoni	Industrial Engineering	Education/Outreach	AI-SDM	Outreach Lead	Navajo Tech	Assistant Professor	mramoni@navajotech.edu
Jodi Reeves	Data science education	AI, ML, and optimization course developement; Broadening participation and diversity	TILOS	Institute Leadership	National University	Department Chair and Professor	jreeves@nu.edu
Aileen Reid			AI-ALOE	Institute Leadership			aileen.reid@uncg.edu
Alejandro Ribeiro	Wireless autonomous networks; ML on network data; distributed collaborative learning	Time-scale cognizant network architecture optimization (N1.1); Collaborative networked estimation and inference through graph neural networks (R2.1); Multi-robot perception, action and communication (R2.2)	TILOS	Faculty Researcher	University of Pennsylvania	Professor	aribeiro@seas.upenn.edu
Blake Richards	Laboratory investigates universal principles of intelligence that apply to both natural and artificial agents	Funded Project	ARNI	Faculty Researcher	McGill University and MILA	Associate Professor	blake.richards@mcgill.ca
Theresa Richards			AIIRA	Faculty Researcher	Carnegie Mellon University	Outreach Program Manager	tcrich@andrew.cmu.edu
Debbie Rivas	Social-emotional learning, ethnic-racial identity and sociopolitical development, and civic engagement		INVITE	Faculty Researcher	University of Michigan	Associate Dean & Professor	drivas@umich.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
Tony Ro	Cognitive and neural architecture involved in attention and perception using TMS, EEG, fMRI, and optical imaging in neurologically healthy and impaired individuals	Funded Project, Education and Outreach Collaborator at CUNY	ARNI	Faculty Researcher	CUNY Graduate Center	Presidential Professor in Psychology and Biology and the Director of the MS Program in Cognitive Neuroscience	tro@gc.cuny.edu
Timothy Robinson			ACTION	Managing Director/Program Manager			trobinson@ucsb.edu
Sandro Romani	We want to establish the mechanisms by which microcircuits in the hippocampus and cortex encode, maintain and dynamically update information, and relate these to phenomena expressed at the level of behavior		ARNI	Faculty Researcher	Janelia Research Campus	Group Leader	sandro.romani@gmail.com
Peter Romine	Electrical Engineering	Education/Outreach	AI-SDM	Outreach Lead	Navajo Tech	Associate Professor	promine@navajotech.edu
Pam Ronald	Applies big data techniques, such as sequencing technologies and machine learning, to understand the effects of diet on human health		AIFS	Institute Leadership	UC Davis	Distinguished Professor	pcronald@ucdavis.edu
Jeremy Roschelle			Engage AI	Co-PI of Grant			jroschelle@digitalpromise.org
Roni Rosenfeld	Machine Learning	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Department Head and Professor	roni@cs.cmu.edu
Tajana Rosing	Communication networks; computer chip design	System Driver: Internet of Things networks (2.2.4)	TILOS	Faculty Researcher	UC San Diego	Professor	tajana@ucsd.edu
Jonathan Rowe			Engage AI	Managing Director/Program Manager			jprowe@ncsu.edu
Fabian Ruehle	String theory, string pheno, topology, geometry, ML	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Northeastern	Assistant Professor	f.ruehle@northeastern.edu
Dan Runcie	Understanding the intricate interplay between environmental factors and genetic disparities among plant varieties, shaping their performance	Lead of Molecular Breeding Cluster	AIFS	Institute Leadership	UC Davis	Associate Professor	deruncie@ucdavis.edu
Alexander Rush	Natural Language Processing, Machine Learning, Large Language Models, Deep Learning, Generative AI	Learning Material Rewriting and Enrichment thrust	AI4ExceptionalEd	Faculty Researcher	Cornell University	Associate Professor	arush@cornell.edu
Stuart Russell			ACTION	Institute Leadership			russell@berkeley.edu
Shirin Saeedi Bidokhti	Communication networks	Rethinking deep learning compression using information theoretic structures (N3.1); Collaborative networked estimation and inference through graph neural networks (N3.2)	TILOS	Faculty Researcher	University of Pennsylvania	Assistant Professor	saeedi@seas.upenn.edu
Majd Sakr	Computer Science	Education/Outreach	AI-SDM	Faculty Researcher	Carnegie Mellon University	Teaching Professor	msakr@cs.cmu.edu
Soumik Sarkar		Associate Director	AIIRA	Co-PI of Grant	Iowa State University	Professor/Director TrAC	soumiks@iastate.edu
Patrick Schnable			AIIRA	Co-PI of Grant	Iowa State University	Professor	schnable@iastate.edu
James Schnable		Subaward Lead	AIIRA	Faculty Researcher	University of Nebraska – Lincoln	Professor	schnable@unl.edu
Jeff Schneider	Robotics, Machine Learning	Researcher	AI-SDM	Co-PI of Grant	Carnegie Mellon University	Research Professor	jeff4@andrew.cmu.edu
Charles Schroeder	Chemistry		MMLI	Faculty Researcher	UIUC	James Economy Professor in Materials Science & EngineeringProfessor and Ray & Beverly Mentzer Faculty Scholar in Chemical & Biomolecular Engineering	cms@illinois.edu	N/A
Noah Schroeder	Pedagogical agents, multimedia learning, meta-analysis, virtual humans, socially interactive agents	Measuring Persistence and Academic Resilience: Analytic Review and Operational Definition, Pedagogical Agent Toolkit Development, The Impact of Pedagogical Agents on K-12 Learners, The Impact of Pedagogical Agents on Learners’ Motivation	INVITE	Institute Leadership	Wright State University	Professor	noah.schroeder@wright.edu	Strand 3 (STEM learning environments, PaRC skills, Pedogogical Agents)
David Schwab	Physics of learning, natural and artificial	Industry Outreach & Knowledge Transfer Committee Chair,	ARNI	Faculty Researcher	CUNY Graduate Center	Assistant Professor of Biology and Physics	davidjschwab@gmail.com
Matt Schwartz	Quantum field theory, collider physics	IAIFI Senior Investigator	IAIFI	Co-PI of Grant	Harvard	Professor	schwartz@g.harvard.edu
Hulya Seferoglu	Networking, Machine Learning	5. Network-Aware AI Operations	AI-EDGE	Institute Leadership	University of Illinois, Chicago	Associate Professor	hulya@uic.edu
Michelle Segovia		Subaward Lead	AIIRA	Faculty Researcher	University of Delaware	Assistant Professor	Segoviam@udel.edu
Srirangaraj (Ranga) Setlur	Biometrics and Pattern Recognition, Artificial Intelligence, Machine Learning, Computer Vision	Multimodal Perception and Understanding thrust	AI4ExceptionalEd	Managing Director	University at Buffalo	Co-Director and Principal Research Scientist	setlur@buffalo.edu	AIVO Project Management
Sanjay Shakkottai	Networking, Machine Learning	2. AI-based Network Resource Allocation and Control	AI-EDGE	Institute Leadership	University of Texas at Austin	Professor	sanjay.shakkottai@utexas.edu
Phiala Shanahan	Lattice QCD, flow models, unsupervised learning, interpretability	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Associate Professor	pshana@mit.edu
Shashi Shekhar			AI-CLIMATE	Director	University of Minnesota	Professor, Distinguished Professor, Distinguished Teaching Professor, ADC/CSE Chair	shekhar@umn.edu
Jianbo Shi	Computer vision	Education & Workforce Development Committee Member, Funded Project, Animal Behavior Video Analysis Working Group Member, Education and Outreach Partner at UPENN	ARNI	Faculty Researcher	Upenn	Professor of Computer and Information Science	jshi@seas.upenn.edu
Humphrey Shi	Computer Vision, Machine Learning, AI Systems and Applications	Multimodal Perception and Understanding thrust	AI4ExceptionalEd	Faculty Researcher	Georgia Institute of Technology	Associate Professor	shi@gatech.edu
Ness Shroff	Networking, Machine Learning	2. AI-based Network Resource Allocation and Control 3. Multi-Agent Network Resource Allocation and Control 4. AI-Powered Network Security 5. Network-Aware AI Operations 7. Humans, AI, and Network Research at the Interface	AI-EDGE	Institute Leadership	The Ohio State University	Professor	shroff@ece.osu.edu
Diwakar Shukla	Chemical & Biomolecular Engineering		MMLI	Faculty Researcher	UIUC	Associate Professor	diwakar@illinois.edu	N/A
Justin Siegel	Combining computational and experimental tools to develop a fundamental knowledge of enzyme catalysis, and applying those principles to design novel proteins	Lead of Knoweldge Transfer	AIFS	Institute Leadership	UC Davis / Innovation Institute for Food and Health	Associate Professor	jbsiegel@ucdavis.edu
Chris Simmons	High-throughput, massively parallel sequencing and bioinformatics approaches are used to characterize microbial communities	Improving energy and water use efficiency in food processing by reclaiming energy from waste biomass streams	AIFS	Faculty Researcher	UC Davis	Professor and Department Chair	cwsimmons@ucdavis.edu
Danny Singh			AIIRA	Co-PI of Grant	Iowa State University	Professor	singhak@iastate.edu
Arti Singh			AIIRA	Faculty Researcher	Iowa State University	Associate Professor	arti@iastate.edu
Aarti Singh			AIIRA	Faculty Researcher	Carnegie Mellon University	Professor	aarti@andrew.cmu.edu
Aarti Singh	Machine Learning	Researcher	AI-SDM	PI of Grant	Carnegie Mellon University	Professor	aarti@cs.cmu.edu
Ambuj Singh			ACTION	Faculty Researcher			ambuj@ucsb.edu
Kristin Singhasemanon		Communications for AIFS	AIFS	Institute Leadership	UC Davis	Communications and Marketing Coordinator	ksinghasemanon@udavis.edu
Ganesh Sivaraman	Chemical & Biomolecular Engineering		MMLI	Faculty Researcher	UIUC	Research Assistant Professor	ganeshs@illinois.edu	N/A
Edwin Skidmore			AIIRA	Faculty Researcher	University of Arizona	Director Infrastructure CyVerse	edwin@cyverse.org
Tracy Slatyer	Dark matter theory, particle astrophysics, early-universe cosmology	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Professor	tslatyer@mit.edu
Tess Smidt	Geometry, machine learning, computational physics, particle physics, materials physics	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Assistant Professor	tsmidt@mit.edu
Aaron Smith	Economic and policy challenges related to agriculture, energy, and the environment	Lead of Socioeconomics and Ethics Cluster	AIFS	Institute Leadership	UC Davis	DeLoach Professor	adsmith@ucdavis.edu	Ethics and Socioeconomics
John Smith Jr.	Calibration, simulation, and inference of large-scale dynamical systems (especially those related to ecological applications), iterative near-term forecasting, Bayesian hierarchical modeling, application driven methodology, Gaussian process surrogate modeling and optimization.	Modeling; DEI	Dynamics AI	Faculty Researcher	Montana State University	Assistant Professor Statistics	john.smith20@montana.edu
Nathan Snook			AI2ES	Institute Leadership	University of Oklahoma		nsnook@ou.edu
Marin Soljacic	Nanophotonics, AI for nanophotonics and science in general, physics inspired AI algorithms	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Professor	soljacic@mit.edu
Dawn Song			ACTION	Co-PI of Grant			dawnsong@cs.berkeley.edu
Ned Spang	Characterizing and optimizing the efficiency of linked water, energy, and food resource systems	Food waste stream optimization	AIFS	Faculty Researcher	UC Davis	Associate Professor	esspang@ucdavis.edu
Jesse Sparks	Discourse Processing, Reading Comprehension, Learning and Memory, Assessment for Learning	Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members, Measuring Persistence and Academic Resilience: Analytic Review and Operational Definition,	INVITE	Faculty Researcher	Educational Testing Services	Senior Research Scientist	jsparks@ets.org	Strand 2 (Learner Modeling)
Rugaber Spencer			AI-ALOE	Faculty Researcher			spencer@gatech.edu
Daniel Spielman	Foundational research	Continuous methods for discrete optimization (F1.1)	TILOS	Faculty Researcher	Yale	Professor	daniel.spielman@yale.edu
Peter Spirtes	Philosophy	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Marianna Brown Dietrich Professor and Head	ps7z@andrew.cmu.edu
Suvrit Sra	Foundational research	Non-Euclidean optimization (F3.1); Nonconvex optimization in deep learning (F5)	TILOS	Faculty Researcher	MIT	Associate Professor	suvrit@mit.edu
Kannan Srinivasan	Networking	1. Re-Engineering the Physics/Constraints	AI-EDGE	Institute Leadership	The Ohio State University	Associate Professor	kannan@cse.ohio-state.edu
Shashank Srivastava			Engage AI	Faculty Researcher			ssrivastava@cs.unc.edu
Kimberly Stachenfeld	Neuroscience and AI	GoogleDeepMind liaison/ Assists trainees with internship applications	ARNI	Faculty Researcher	Columbia	Adjunct Assistant Professor of Neuroscience (in the Mortimer B. Zuckerman Mind Brain Behavior Institute)	ks3316@columbia.edu
Michael Starek			AI2ES	Faculty Researcher	Texas A&M University – Corpus Christi		michael.starek@tamucc.edu
Matthew Stasiewicz	Food safety	UIUC site lead	AIFS	Faculty Researcher	University of Illinois	Associate Professor	mstasie@illinois.edu
Jebb Stewart	AI, NWP, Weather, Visualization		AI2ES	Institute Leadership	Nat’l Oceanic & Atmospheric Administration	Lead – Weather Visualization and AI Research Development Branch	jebb.q.stewart@noaa.gov
Alan Stocker	Models of visual perception and decision making; linking theory to psychophysical and physiological data	Industry Outreach & Knowledge Transfer Committee member, Funded Project	ARNI	Faculty Researcher	Upenn	Associate Professor of Psychology	astocker@psych.upenn.edu
Hao Su	Robotics	Efficient high-dimensional policy learning under complex dynamics (R3.1); Inverse reinforcement learning and learning from demonstration (R3.2)	TILOS	Faculty Researcher	UC San Diego	Associate Professor	haosu@ucsd.edu
Hariharan Subramonyam	Augmented Reality with AI, Cognition, Multidisciplinary Co-Design of AI Experiences	AI Embodiments thrust	AI4ExceptionalEd	Faculty Researcher	Stanford University	Assistant Professor (Research)	harihars@stanford.edu
Kara Sulia			AI2ES	Faculty Researcher	University of Albany	Associate Director	ksulia@albany.edu
Rachel Switzky			MMLI	Institute Leadership	UIUC	Director	rswitzky@illinois.edu	N/A
Katia Sycara			AIIRA	Faculty Researcher	Carnegie Mellon University	Professor	katia@cs.cmu.edu
Jessie Taft	Industry Strategic Partneships, Subawad and contract management		ARNI	Managing Director/Program Manager	Columbia	Assistant Director of Strategic Partnerships	jt3423@columbia.edu
Ilias Tagkopoulos	Core AI, nutrition and AI		AIFS	PI of Grant	UC Davis	Professor	itagkopoulos@ucdavis.edu	Agriculture AI Institutes
Ameet Talwalkar	Machine Learning	5. Network-Aware AI Operations 7. Humans, AI, and Network Research at the Interface	AI-EDGE	Faculty Researcher	Carnegie Mellon University	Associate Professor	talwalkar@cmu.edu
Milind Tambe	Computer Science	Researcher	AI-SDM	Faculty Researcher	Harvard University	Gordon McKay Professor	milind_tambe@harvard.edu
Nitin Tandon	Cognitive functions using imaging and invasive electrophysiology		ARNI	Faculty Researcher	University of Texas Health Science Center at Houston	Professor and Chair	Nitin.Tandon@uth.tmc.edu
Zenna Tavares	I work to understand and mechanize the various forms of human reasoning. This primarily consists of developing algorithms and languages for (Bayesian) probabilistic modeling and causal inference. I use a variety of tools in programming languages and analysis, statistics, and (deep!) machine learning. I like to design little programming languages that synthesize these ideas, such as Omega.jl.	Funded Project	ARNI	Faculty Researcher	Columbia	Associate Research Scientist in the Data Science Institute and in the Mortimer B. Zuckerman Mind Brain Behavior Institute	zt2297@columbia.edu
Camillo J. (CJ) Taylor	Robotics	Hierarchical semantic mapping at the edge (R1.2); Multi-robot mapping with disruptions in communication (R2.1)	TILOS	Faculty Researcher	University of Pennsylvania	Distinguished Professor	cjtaylor@seas.upenn.edu
Gail Taylor	Plant adaptation to the changing environment, particularly high CO2 using naturally high CO2 springs as a proxy for future change	Plant Sciences	AIFS	Faculty Researcher	UC Davis	Distinguished Professor and John B Orr Endowed Professor	gtaylor@ucdavis.edu
Max Tegmark	AI for physics, physics for AI, intelligible intelligence	IAIFI Senior Investigator	IAIFI	Faculty Researcher	MIT	Professor	mtegmark@gmail.com
Caitlin Tenison	Cognitive and Learning Sciences, Data-Driven Educational Technologies, Neuroimaging and Cognitive State Analysis, Machine Learning and Analytics in Education, Cognitive Modeling and Skill Acquisition, Exploratory Data Modeling of Persistence	A Review of Current Approaches to Integrated User Modeling,	INVITE	Faculty Researcher	Educational Testing Services	Research Scientist	ctenison@ets.org	Strand 2 (Learner Modeling)
Jesse Thaler	QCD and jet physics, point clouds, topic modeling, optimal transport	IAIFI Director	IAIFI	PI of Grant	MIT	Professor	jthaler@mit.edu
Letitia Thomas	N/A	Broadening Participation and DEI	AI4ExceptionalEd	Broader Impact Lead	University at Buffalo	Assistant Dean for Diversity	lthomas@buffalo.edu
Chris Thorncroft			AI2ES	Co-PI of Grant	University of Albany	Director	cthorncroft@albany.edu
Philippe Tissot	Coastal Artificial Intelligence	Co-lead, coastal oceanography	AI2ES	Co-PI of Grant	Texas A&M University – Corpus Christi	Chair for Coastal Artificial Intelligence	philippe.tissot@tamucc.edu	Natural and Physical Sciences + Ethics & Trustworthyness
Andreas Tolias	Interface of neuroscience and AI research. We combine systems and computational neuroscience with machine learning approaches to decipher the network level principles of intelligence focusing on perceptual inference and decision making	Continual Learning Thrust Lead, funded project	ARNI	Faculty Researcher	Stanford (Moving from Baylor College of Medicine in 2024)	Professor	astolias@bcm.edu
Ploy Trajchayapong			AI-ALOE	Faculty Researcher			ploy@gatech.edu
Srini Turaga	Intersection of AI and science, with a particular focus on neuroscience, biomechanics, optics, and protein engineering	Animal Behavior Video Analysis Working Group member	ARNI	Faculty Researcher	Janelia Research Campus	Group Leader	turagas@janelia.hhmi.org
Corinne Valdivia		Subaward Lead	AIIRA	Faculty Researcher	University of Missouri	Professor	ValdiviaC@missouri.edu
Floris van Breugel	We study insects for inspiration in designing robust and novel control systems for robots. Our lab uses real-time tracking, high speed video, and virtual reality to study freely moving animals. Then, aided by modern machine learning tools and control theory, we analyze the behavior, and implement the principles on robotic systems. Along the way, we use genetic tools available in the fruit fly to gain insight into how brains function.	Control; Sensing & Optimization; Curriculum & Education	Dynamics AI	Faculty Researcher	University of Nevada, Reno	Assistant Professor	fvanbreugel@unr.edu
Giovanni Vigna			ACTION	PI of Grant			vigna@ucsb.edu
Nisheeth Vishnoi	Foundational research	Decentralized and dynamic learning (F2.3); Dynamic decisions under uncertainty (F4); Nonconvex optimization in deep learning (F5)	TILOS	Co-PI of Grant	Yale	Professor	nnisheeth.vishnoi@yale.edu
Carl Vondrick	computer vision and machine learning	Animal Behavior Video Analysis Working Group co-Lead, REU mentor	ARNI	Faculty Researcher	Columbia	YM Associate Professor of Computer Science	vondrick@cs.columbia.edu
Stavros Vougioukas	Robotic and robot-aided harvesting, and the design, development, and testing of actuators, perception, and control systems for optimal management of inputs and products.	Agricultural robotics, mechanization, and automation for specialty crops	AIFS	Faculty Researcher	UC Davis	Professor, Department of Biological and Agricultural Engineering	svougioukas@ucdavis.edu
David Wagner			ACTION	Faculty Researcher			daw@cs.berkeley.edu
Xiaolong Wang	Robotics	Multi-robot perception, action and communication (R2.2); Efficient high-dimensional policy learning under complex dynamics (R3.1); Inverse reinforcement learning and learning from demonstration (R3.2)	TILOS	Faculty Researcher	UC San Diego	Assistant Professor	xiw012@ucsd.edu
Yusu Wang	Foundational research	Learning with singular manifolds (F3.2)	TILOS	PI of Grant	UC San Diego	Professor	yuw122@ucsd.edu
Lizhi Wang		Subaward Lead	AIIRA	Faculty Researcher	Oklahoma State University	Professor	lizhi.wang@okstate.edu
X. Christine Wang	Early Childhood Education and Development, Multimodality and Digital Innovations, Curriculum and Instruction Design	Speech, Language and Learning Science thrust, Education and Workforce Development	AI4ExceptionalEd	Faculty Researcher, Broader Impact Lead	University at Buffalo	Professor, Assistant Dean for Interdisciplinary Research, Director of Fisher-Price Endowed Early Childhood Research Center	wangxc@buffalo.edu
Gang Wang			ACTION	Faculty Researcher			gangw@illinois.edu
Nigel Ward	Computational Modeling of Prosody, Human-Computer Interaction with Spoken Language	Spoken Language Sample Analysis thrust	AI4ExceptionalEd	Faculty Researcher	University of Texas at El Paso	Professor	nigel@utep.edu
Melanie Weber	Utilizing geometric structure in data for the design of efficient Machine Learning and Optimization methods with provable guarantees, Data Geometry, Graph Machine Learning, Optimization on Manifolds, Machine Learning in Non-Euclidean spaces, Label- and Resource-efficient Learning	Control	Dynamics AI	Faculty Researcher	Harvard University	Assistant Professor	mweber@g.harvard.edu
David Wettergreen			AIIRA	Faculty Researcher	Carnegie Mellon University	Research Professor	dw0s@andrew.cmu.edu
Christina White	Chemistry		MMLI	Faculty Researcher	UIUC	William H. and Janet G. Lycan Professor	mcwhite7@illinois.edu	N/A
Eric Wiebe			Engage AI	Faculty Researcher			wiebe@ncsu.edu
Martin Wiedmann	Develop and communicate the scientific knowledge needed to prevent and control foodborne and zoonotic diseases caused by bacteria as well as microbial food spoilage	Comprehensive and interdisciplinary farm-to-table approach to food safety and quality.	AIFS	Faculty Researcher	Cornell University	Gellert Family Professor in Food Safety, Food Science	mw16@cornell.edu
Bryan Wilder	Machine Learning	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Assistant Professor	bwilder@andrew.cmu.edu
Mike Williams	Dark sector physics, high-throughput real-time analysis, AI robustness	IAIFI Deputy Director	IAIFI	Institute Leadership	MIT	Professor	mwill@mit.edu
John Williams	AI for real-time operational weather content		AI2ES	Institute Leadership	The Weather Company	Head of Weather AI Sciences	john.williams@weather.com
Melissa Wilson Reyes			AI2ES	Managing Director/Program Manager	University of Oklahoma		mel@ai2es.org
Frank Witmer	Human-environment geography, with an emphasis on quantifying how human activity (e.g. war, population growth, urbanization) affects environmental conditions (e.g. land use, deforestation, climate) at local and regional scales. Immersive visualization of environmental changes at multiple scales. Remote sensing, especially as applied to war and land-use/land-cover change detection. Development of methods from spatial statistics, GIScience, and remote sensing for analyzing sociodemographic and environmental change data, including the location and diffusion of point events (e.g. violence, crime)		Dynamics AI	Faculty Researcher	University of Alaska Anchorage	Associate Professor	fwitmer@alaska.edu
Daniela M. Witten	High-Dimensional Data and Statistical Learning Genomics Classification Techniques Computational Biology Multivariate Methods Neuroscience		Dynamics AI	Faculty Researcher	University of Washington	Professor, Biostatistics Professor, Statistics Dorothy Gilford Endowed Chair of Mathematical Statistics	dwitten@uw.edu
Taritree Wongjirad	Neutrino physics, convolutional and generative neural networks, reinforcement learning	IAIFI Senior Investigator	IAIFI	Co-PI of Grant	Tufts	Assistant Professor	Taritree.Wongjirad@tufts.edu
John N. Wright	High-dimensional data analysis, signal processing, computer vision, optimization	Sensing & Optimization; DEI	Dynamics AI	Faculty Researcher	Columiba University	Associate Professor	jw2966@columbia.edu
Jinjun Xiong	Artificial Intelligence Systems, Cognitive Computing	AI System Integration thrust	AI4ExceptionalEd	Co-PI of Grant, Scientific Director	University at Buffalo	Director of Institute for Artificial Intelligence and Data Science, SUNY Empire Innovation Professor	jinjun@buffalo.edu
Wenyao Xu	Embedded Sensing and Computing, Internet-of-Things Systems	Spoken Language Sample Analysis thrust, Knowledge Transfer	AI4ExceptionalEd	Faculty Researcher, Broader Impact Lead	University at Buffalo	Professor and Associate Department Chair	wenyaoxu@buffalo.edu
Dongyan Xu			ACTION	Co-PI of Grant			dxu@purdue.edu
Yilun Yang	Networking, Machine Learning, Information Theory		AI-EDGE	Institute Leadership	The Ohio State University	Staff	yang.4969@osu.edu
Aylin Yener	Machine Learning	1. Re-Engineering the Physics/Constraints	AI-EDGE	Faculty Researcher	The Ohio State University	Professor	yener@ece.osu.edu
Ming Yin			ACTION	Faculty Researcher			mingyin@purdue.edu
Lei Ying	Networking, Machine Learning	3. Multi-Agent Network Resource Allocation and Control 6. Network Operations for Distributed AI	AI-EDGE	Institute Leadership	University of Michigan	Professor	leiying@umich.edu
Gabe Youtsey		UC-ANR site lead, Co-Lead of Workforce, Industrial, and Societal Engagement	AIFS	Institute Leadership	UC Agriculture and Natural Resources	Chief Innovation Officer	gdyoutsey@ucanr.edu
Bin Yu			ACTION	Faculty Researcher			binyu@stat.berkeley.edu
Junsong Yuan	Computer Vision, Pattern Recognition, Video Analytics	Multimodal Perception and Understanding thrust	AI4ExceptionalEd	Faculty Researcher	University at Buffalo	Professor, Director of Visual Computing	jsyuan@buffalo.edu
Richard Zanibbi	Computer Science		MMLI	Faculty Researcher	RIT	Professor	rxzvcs@rit.edu	N/A
Diego Zapata	Personalization, Artificial Intelligence in Education, Educational Assessment, Intelligent Tutoring Systems, User Modeling	Data Dictionary and AI/ML Tasks, Literature review on NLP-supported Learner Models, A Review of Current Approaches to Integrated User Modeling, Exploratory Data Modeling of Persistence, Exploring Learner Modeling, Privacy, & Trust issues with Teachers, Students and Team Members,	INVITE	Co-PI of Grant	Educational Testing Services	Director of Learning and Assessment	dzapata@ets.org	Lead, Cross Strand
Cheng Zhai	Information Retrieval, Text Mining, Machine Learning, Biomedical Informatics, Intelligent Education Systems	Large Language Models and INVITE: Improving Engagement via Adaptive Analogy Generation,	INVITE	Co-PI of Grant	Univerity of Illinois Urbana-Champaign	Professor	czhai@illinois.edu	Lead, Cross Strand
Yifang Zhang	N/A	Tool Development	MMLI	Institute Leadership	UIUC	Data Analyst	zhang303@illinois.edu	N/A
Zhong (June) Zhang	Network science, complex systems, signal processing, statistical machine learning, and human-computer interaction	Sensing & Optimization; Curriculum & Education	Dynamics AI	Faculty Researcher	University of Hawai‘i at Mānoa	Assistant Professor	june.zhang@hawaii.edu
Kun Zhang	Philosophy	Researcher	AI-SDM	Faculty Researcher	Carnegie Mellon University	Associate Professor	kunz1@cmu.edu
Huimin Zhao	Chemistry		MMLI	PI of Grant	UIUC	Steven L. Miller Chair	zhao5@illinois.edu	Natural and Physical Sciences
Frances (Frankie) Zhu	Dynamics, controls, systems engineering, and machine learning for space applications	Modeling; DEI; Applications	Dynamics AI	Faculty Researcher	University of Hawai‘i at Mānoa	Assistant Research Professor, HSGC Associate Director	zhuf@hawaii.edu
Todd Zickler	Artificial visual perception, computational sensing, computer vision	IAIFI Senior Investigator	IAIFI	Faculty Researcher	Harvard	Professor	zickler@seas.harvard.edu
Richard Zimmel	Machine learning, artificial intelligence, statistics, neuroscience, and cognitive science	Director, Continual Learning Thrust co-Lead, Animal Behavior Video Analysis Working Group co-Lead, Continual Learning & Frontier Models co-Lead, funded research project	ARNI	PI of Grant	Columbia	Trianthe Dakolias Professor of Engineering and Applied Science	zemel@cs.columbia.edu
Tarek Zohdi	Mechanical engineering, digital twins, modeling	UC Berkeley site lead, Co-Lead of Food Production and Distribution Cluster, Co-Lead of Engagement	AIFS	Co-PI of Grant	UC Berkeley	Professor, Associate Dean for Research	zohdi@berkeley.edu
Shaofeng Zou	Reinforcement Learning, Robust Machine Learning, Quickest Change Detection and Sequential Analysis	Advanced Recommendation Engine for AI Orchestrator thrust	AI4ExceptionalEd	Faculty Researcher	University at Buffalo	Assistant Professor	szou3@buffalo.edu