Institute for Human-Centered Artificial Intelligence (HAI)
Showing 161-180 of 255 Results
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Erin Mordecai
Associate Professor of Biology and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsOur research focuses on the ecology of infectious disease. We are interested in how climate, species interactions, and global change drive infectious disease dynamics in humans and natural ecosystems. This research combines mathematical modeling and empirical work. Our main study systems include vector-borne diseases in humans and fungal pathogens in California grasses.
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Elizabeth Mormino
Associate Professor (Research) of Neurology and Neurological Sciences (Neurology Research)
BioDr. Beth Mormino completed a PhD in Neuroscience at UC Berkeley in the laboratory of Dr. William Jagust, where she performed some of the initial studies applying Amyloid PET with the tracer PIB to clinically normal older individuals. This initial work provided evidence that the pathophysiological processes of Alzheimer’s disease begin years before clinical symptoms and are associated with subtle changes to brain regions critical for memory. During her postdoctoral fellowship with Drs. Reisa Sperling and Keith Johnson at Massachusetts General Hospital she used multimodal imaging techniques to understand longitudinal cognitive changes among individuals classified as preclinical AD. In 2017, Dr. Mormino joined the faculty at Stanford University in the department of Neurology and Neurological Sciences. Her research program focuses on combining imaging and genetics to predict cognitive trajectories over time, and the integration of novel PET scans to better understand human aging and neurodegenerative diseases.
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Mark Musen
Stanford Medicine Professor of Computational Medicine, Professor of Medicine (Computational Medicine) and of Biomedical Data Science
Current Research and Scholarly InterestsModern science requires that experimental data—and descriptions of the methods used to generate and analyze the data—are available online. Our laboratory studies methods for creating comprehensive, machine-actionable descriptions both of data and of experiments that can be processed by other scientists and by computers. We are also working to "clean up" legacy data and metadata to improve adherence to standards and to facilitate open science broadly.
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Harikesh Nair
Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Current Research and Scholarly InterestsMarketing analytics, workplace analytics, pricing, advertising, empirical agency, technology and online markets, dynamic decision contexts, network effects, social interactions, empirical industrial organization
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Rosamond Naylor
William Wrigley Professor, Professor of Environmental Social Sciences, Senior Fellow at the Woods Institute, and at the Freeman Spogli Institute, Emerita
Current Research and Scholarly InterestsResearch Activities:
My research focuses on the environmental and equity dimensions of intensive food production systems, and the food security dimensions of low-input systems. I have been involved in a number of field-level research projects around the world and have published widely on issues related to climate impacts on agriculture, distributed irrigation systems for diversified cropping, nutrient use and loss in agriculture, biotechnology, aquaculture and livestock production, biofuels development, food price volatility, and food policy analysis.
Teaching Activities:
I teach courses on the world food economy, food and security, aquaculture science and policy, human society and environmental change, and food-water-health linkages. These courses are offered to graduate and undergraduate students through the departments of Earth System Science, Economics, History, and International Relations.
Professional Activities:
William Wrigley Professor of Earth Science (2015 - Present); Professor in Earth System Science (2009-present); Director, Stanford Center on Food Security and the Environment (2005-2018); Associate Professor of Economics by courtesy (2000-present); William Wrigley Senior Fellow, Freeman Spogli Institute for International Studies and the Woods Institute for the Environment (2007-2015); Trustee, The Nature Conservancy CA program (2012-present); Member of the Scientific Advisory Board for the Beijer Institute for Ecological Economics in Stockholm (2011-present), for the Aspen Global Change Institute (2011-present), and for the Aldo Leopold Leadership Program (2012-present); Aldo Leopold Leadership Fellow in Environmental Science and Public Policy (1999); Pew Fellow in Conservation and the Environment (1994). Associate Editor for the Journal on Food Security (2012-present). Editorial board member for Aquaculture-Environment Interactions (2009-present) and Global Food Security (2012-present). -
David Nguyen
Research Scientist, Stanford Digital Economy Lab (S-DEL)
BioDavid’s research explores new and better ways to measure the modern and digital economy. He is particularly interested in advancing economic metrics and statistics on economic output and welfare.
Prior to joining the Stanford Digital Economy Lab, David worked as an economist at the OECD in Paris, and as a senior economist at the National Institute of Economic and Social Research (NIESR). As a research associate, he remains affiliated to the London-based Economic Statistics Centre of Excellence (ESCoE). David received his PhD from the London School of Economics. -
Allison Okamura
Richard W. Weiland Professor in the School of Engineering, Professor of Mechanical Engineering, and Senior Fellow at the Hoover Institution
Current Research and Scholarly InterestsMy research focuses on developing the principles and tools needed to realize advanced robotic and human-machine systems capable of physical interaction. Application areas include surgery, simulation and training, rehabilitation, prosthetics, neuromechanics, exploration of hazardous and remote environments (e.g. space), design, and education.
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Kunle Olukotun
Cadence Design Systems Professor, Professor of Electrical Engineering and of Computer Science
BioKunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a pioneer in multicore processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. He founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle's SPARC-based servers. In 2017, Olukotun co-founded SambaNova Systems, a Machine Learning and Artificial Intelligence company, and continues to lead as their Chief Technologist.
Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics tor What's Next (DAWN) Lab, developing infrastructure for usable machine learning. He is a member of the National Academy of Engineering, an ACM Fellow, and an IEEE Fellow for contributions to multiprocessors on a chip design and the commercialization of this technology. He also received the Harry H. Goode Memorial Award.
Olukotun received his Ph.D. in Computer Engineering from The University of Michigan. -
Lisa Larrimore Ouellette
Deane F. Johnson Professor of Law, Associate Dean for Research and Intellectual Life, and Senior Fellow at the Stanford Institute for Economic Policy Research
BioLisa Larrimore Ouellette is the Deane F. Johnson Professor of Law at Stanford Law School and a Senior Fellow at the Stanford Institute for Economic Policy Research. Her research focuses on intellectual property law and innovation policy. She leverages her training in physics to explore policy issues such as how scientific expertise might improve patent examination, the value of information disclosed in patents, patenting publicly funded research under the Bayh–Dole Act, equity in patent inventorship, and the integration of IP with other levers of innovation policy. She has applied these ideas to biomedical innovation challenges including the opioid epidemic, COVID-19, vaccines, and pharmaceutical prices. She has also written about doctrinal puzzles in patent and trademark law, the effect of AI on patent practice, and the potential for different standards of review to create “deference mistakes” in numerous areas of law.
Professor Ouellette is an acclaimed teacher and nationally recognized intellectual property law expert. She coauthored a free patent law casebook, Patent Law: Cases, Problems, and Materials, which has been adopted at over 70 law schools, and she has designed and led pedagogy training for other Stanford Law faculty. In 2018, she received Stanford’s John Bingham Hurlbut Award for Excellence in Teaching. Her commentary has appeared in publications including the New York Times, Wall Street Journal, TIME Magazine, and Slate. She was also appointed to a committee of the National Academies of Sciences, Engineering, and Medicine to recommend strategies for better aligning medical innovation with disease burden and unmet needs.
Prior to her appointment at Stanford Law School in 2014, Professor Ouellette was a Postdoctoral Fellow at the Information Society Project at Yale Law School. She clerked for Judge Timothy B. Dyk of the U.S. Court of Appeals for the Federal Circuit and Judge John M. Walker, Jr. of the U.S. Court of Appeals for the Second Circuit. She holds a J.D. from Yale Law School, where she was an Articles Editor of the Yale Law Journal. She earned a Ph.D. in physics from Cornell University and a B.A. in physics from Swarthmore College, and has conducted scientific research at the Max Planck Institute, CERN, and NIST. -
Jennifer Pan
Sir Robert Ho Tung Professor of Chinese Studies, Professor of Communication, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science and of Sociology
BioJennifer Pan studies political communication, digital media, and authoritarian politics, with a focus on China. She is the Sir Robert Ho Tung Professor of Chinese Studies, Professor of Communication, and, by courtesy, Professor of Political Science and Sociology at Stanford University, where she is also a Senior Fellow at the Freeman Spogli Institute.
Using experimental and computational methods with large-scale data on political activity, she examines how technology structures censorship, propaganda, and information manipulation, and how preferences and behaviors are shaped as a result. She is the author of Welfare for Autocrats (Oxford University Press, 2020), and her work has appeared in journals including American Political Science Review, American Journal of Political Science, Journal of Politics, Science, and Nature.
She graduated from Princeton University, summa cum laude, and received her Ph.D. from Harvard University’s Department of Government. -
Vanessa Parli
Managing Director of Programs and External Engagement, Institute for Human-Centered Artificial Intelligence (HAI)
BioAs Managing Director, Programs and External Engagement at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), I lead initiatives that foster interdisciplinary collaboration and connect academic research with real-world impact. My work includes managing HAI’s industry research partnerships, executive education, policy engagement and the AI Index, creating opportunities for leaders from diverse backgrounds to engage with cutting-edge AI research, its applications, and its potential for positive social impact.
Before joining Stanford, I worked in management consulting, applying statistics, machine learning, and data science to advise government agencies, biotech firms, and nonprofit organizations. My work centered on making complex methods accessible to decision makers, ensuring technical rigor translated into actionable strategies.
I hold an MS in Engineering Management and Computational Mathematics from Johns Hopkins University and a BA in Industrial Engineering from Arizona State University. I am passionate about turning bold ideas into impact, and am recognized for my collaborative, process-driven approach to problem-solving. -
Juan N. Pava
Master of Arts Student in International Policy, admitted Autumn 2026
Fall 2026 TECH 50 Course Support Specialist, Continuing Studies
Research Assistant, Institute for Human-Centered Artificial Intelligence (HAI)BioJuan N. Pava is a Research Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where his work focuses on AI governance, digital inclusion, and the political economy of emerging technologies, particularly in the Global South. His research examines how institutions can more equitably govern technological development, with current projects spanning low-resource languages, language digitization, AI sovereignty, and accessibility.
At Stanford HAI, Juan has contributed to research and institutional initiatives at the intersection of technology and social impact, including educational programming for civil society leaders and collaborative projects on inclusive AI development. He is also a Research Assistant at Stanford’s Human Trafficking Data Lab, where he co-authors research on legal and statistical frameworks surrounding labor exploitation and human trafficking.
Juan holds a B.A. in Philosophy and Economics from New York University and will begin the Master’s in International Policy program at Stanford University in 2026. Born and raised in Colombia, his broader interests lie in political economy, international development, and the application of normative political theory to institutional design and governance. -
Marco Pavone
Professor of Aeronautics and Astronautics and Senior Fellow at the Precourt Institute for Energy
BioDr. Marco Pavone is a Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory. He is also a Distinguished Research Scientist at NVIDIA where he leads autonomous vehicle research. Before joining Stanford, he was a Research Technologist within the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of a number of awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an Office of Naval Research Young Investigator Award, a National Science Foundation Early Career (CAREER) Award, a NASA Early Career Faculty Award, and an Early-Career Spotlight Award from the Robotics Science and Systems Foundation. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40. His work has been recognized with best paper nominations or awards at a number of venues, including the European Conference on Computer Vision, the IEEE International Conference on Robotics and Automation, the European Control Conference, the IEEE International Conference on Intelligent Transportation Systems, the Field and Service Robotics Conference, the Robotics: Science and Systems Conference, and the INFORMS Annual Meeting.
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Roy Pea
Director, H-STAR, David Jacks Professor of Education and Professor, by courtesy, of Computer Science
Current Research and Scholarly Interestslearning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains
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Alex P Pentland
Center Fellow at the Stanford Institute for Human-Centered AI
BioAlex “Sandy” Pentland is HAI Center Fellow and faculty lead for digital society at Stanford HAI and Digital Economy Lab, He is Toshiba Professor at MIT, member of US National Academies, Advisor to Abu Dhabi Investment Authority Lab, and formerly advisory board member at UN Secretary General’s office, Google, ATT, Telefonica, and elsewhere. Spin-off companies and open source systems from his lab manage authentication of most digital transactions in the world, media for roughly 1B people in far east, and health resources for roughly 0.5B people in the indopacific. His current focus is on problems and opportunities in using AI to improve our social institutions.
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VJ Periyakoil, Professor of Medicine
Professor of Medicine (Primary Care and Population Health)
Current Research and Scholarly InterestsMy lab is focused on longevity and healthy aging research.
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Nathaniel Persily
James B. McClatchy Professor, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Communication and of Political Science
BioNate Persily is the James B. McClatchy Professor of Law at Stanford Law School and the Co-Director of the Stanford Law AI Initiative. He also holds appointments in the departments of Political Science, Communication, and the Freeman Spogli Institute of International Studies. Professor Persily’s work focuses on two distinct areas: the Law of Democracy and Governance of Technology. He is coauthor with Samuel Issacharoff, Pamela Karlan, Richard Pildes and Franita Tolson of the casebook, The Law of Democracy (Foundation Press, 6th ed., 2020), which addresses issues such as voting rights, political party regulation, campaign finance, redistricting, and election administration. He has served as a special master or court-appointed expert to craft congressional or legislative districting plans for Georgia, Maryland, Connecticut, New Hampshire, New York, North Carolina, and Pennsylvania. He also served as the nonpartisan Senior Research Director for the Presidential Commission on Election Administration. His current work, for which he has been honored as a Guggenheim Fellow, Andrew Carnegie Fellow, and a Fellow at the Center for Advanced Study in the Behavioral Sciences, examines the governance of technology and technology’s impact on democracy. He is coeditor, with Joshua Tucker, of Social Media and Democracy: The State of the Field and Prospects for Reform (Cambridge Press, 2020), and Artificial Intelligence, Politics, and Political Science (Cambridge Press, 2026). He is also co-editor of the Digitalist Papers: Artificial Intelligence and Democracy in America (2024) with Erik Brynjolfsson, Alex Pentland and Condoleeza Rice. Professor Persily cochairs the Presidential Task Force on Artificial Intelligence of the American Political Science Association. He is a member of the American Academy of Arts and Sciences. He received a B.A. and M.A. in political science from Yale (1992); a J.D. from Stanford (1998) where he was President of the Stanford Law Review, and a Ph.D. in political science from U.C. Berkeley in 2002.
