Institute for Human-Centered Artificial Intelligence (HAI)
Showing 181-200 of 258 Results
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Juan N. Pava
Master of Arts Student in International Policy, admitted Autumn 2026
Summer 2026 TECH 50 H 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
Associate Professor of Aeronautics and Astronautics, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Electrical Engineering & of Computer Science
BioDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory and the Center for Automotive Research at Stanford. 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.
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Kilian M. Pohl, PhD
Professor (Research) of Psychiatry and Behavioral Sciences (Major Labs and Incubator) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsThe foundation of the laboratory is computational science aimed at identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data. This data-driven discovery currently supports the adolescent brain research of the NIH-funded National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA). The laboratory also investigates brain patterns specific to alcohol use disorder, depression, and the human immunodeficiency virus (HIV) across the adult age range, and have advanced the understanding of a variety of brain diseases including schizophrenia, Alzheimer’s disease, glioma, and aging.
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Christine Raval
Research Program Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioChristine is a member of the research team at the Stanford Institute for Human-Centered AI (HAI). She manages the HAI grant programs, student affinity initiative, and the operations of AI100, a 100-year effort to study and anticipate how the effects of AI will ripple through every aspect of how people work, live and play. Prior to joining Stanford, Christine worked on the digital learning team at the University of Nebraska at Omaha and as a case manager for newly arrived refugees in Omaha.
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Christopher Re
Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
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Rob Reich
McGregor-Girand Professor of Social Ethics of Science and Technology, Sr Fellow at the Stanford Institute for HAI, Professor, by courtesy, of Education, of Philosophy, of Law and Senior Fellow, by courtesy, at the Freeman Spogli Institute
BioRob Reich is the McGregor-Girand Professor of Social Ethics of Science and Technology at Stanford University. In 2024-25, Rob was on public service leave as Senior Advisor to the United States Artificial Intelligence Safety Institute.
His scholarship in political theory engages with the work of social scientists and engineers. His newest work is on governance of frontier science and technology. His most recent books are System Error: Where Big Tech Went Wrong and How We Can Reboot (with Mehran Sahami and Jeremy M. Weinstein, HarperCollins 2021) and Digital Technology and Democratic Theory (edited with Lucy Bernholz and Hélène Landemore, University of Chicago Press 2021). He has also written widely about philanthropy, including Just Giving: Why Philanthropy is Failing Democracy and How It Can Do Better (Princeton University Press, 2018) and Philanthropy in Democratic Societies: History, Institutions, Values (edited with Chiara Cordelli and Lucy Bernholz, University of Chicago Press, 2016). His early work is focused on democracy and education, including Bridging Liberalism and Multiculturalism in American Education (University of Chicago Press, 2002) and Education, Justice, and Democracy (edited with Danielle Allen, University of Chicago Press, 2013). He has testified before Congress and written widely for the public, including for the New York Times, Washington Post, Wired, Time Magazine, The Atlantic, The Guardian, and the Stanford Social Innovation Review.
Rob is the recipient of multiple teaching awards, including the Walter J. Gores award, Stanford’s highest honor for teaching. He was a sixth grade teacher at Rusk Elementary School in Houston, Texas before attending graduate school. He is a board member of the magazine Boston Review and at the Spencer Foundation. He helped to create the global movement #GivingTuesday and served as its inaugural board chair. -
Thomas Robinson
The Irving Schulman, M.D. Professor of Child Health, Professor of Medicine (Stanford Prevention Research Center) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsDr. Robinson originated the solution-oriented research paradigm and directs the Stanford Solutions Science Lab. He is known for his pioneering obesity prevention and treatment research, including the concept of stealth interventions. His research applies social cognitive models of behavior change to behavioral, social, environmental and policy interventions for children and families in real world settings, making the results relevant for informing clinical and public health practice and policy.
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Fatima Rodriguez
Robert and Shirley Raymer Professor
BioFatima Rodriguez, MD, MPH serves as the Vice Chair of Clinical Research (Department of Medicine), Section Chief of Preventive Cardiology, and Associate Director of the Center for Digital Health at Stanford University. She received her medical degree from Harvard Medical School and a Master of Public Health from the Harvard T.H. Chan School of Public Health. Dr. Rodriguez completed her internal medicine residency at Brigham and Women’s Hospital and fellowship in cardiovascular medicine at Stanford.
Dr. Rodriguez specializes in the prevention and management of cardiovascular disease, with clinical expertise in coronary artery disease and inherited lipid disorders. Her research focuses on cardiovascular disease prevention and health promotion, leveraging digital tools to improve guideline-based care, and using AI-enabled approaches for early detection of atherosclerosis. -
Daniel Rubin
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), Emeritus
Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.
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Ahmad Rushdi
Director of Industry Programs, Institute for Human-Centered Artificial Intelligence (HAI)
BioAhmad A. Rushdi, PhD, is the director of industry Research Programs, at Stanford’s Institute for Human-Centered AI (HAI). He works on translating cutting-edge AI research into applied, responsible, and deployable AI solutions for global enterprises in different domains, building durable bridges between Stanford scholars and industry researchers via research collaborations and executive education. As a research scientist, Ahmad's own research focuses on rigorous uncertainty quantification methods for trustworthy AI/ML models and systems. Previously, he held R&D roles at Sandia National Labs, Northrop Grumman, UC Davis, UT Austin, and Cisco. PhD: Electrical & Computer Engineering, UC Davis, and MS/BS: Electrical Engineering, Cairo University.
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Chiara Sabatti
Professor of Biomedical Data Science and of Statistics, and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
