Institute for Human-Centered Artificial Intelligence (HAI)
Showing 151-200 of 258 Results
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Matthew Lungren
Adjunct Professor, Biomedical Data Science
BioDr. Matthew Lungren is a physician-scientist whose research develops and evaluates machine learning systems that combine medical imaging, electronic health record data, and clinical outcomes. His current work concerns medical foundation models, agentic clinical systems, and the prospective evaluation of AI in real clinical workflows. He joined the Stanford faculty in 2014 in the Department of Radiology, serving as Assistant Professor and then Associate Professor through 2021 while leading a dedicated pediatric interventional radiology service. He co-founded and co-directed the Stanford Center for Artificial Intelligence in Medicine and Imaging. He remains Adjunct Professor of Biomedical Data Science at Stanford, where he co-teaches Generative AI and Medicine, and holds a part-time clinical appointment at UCSF. He serves as an independent board director and scientific advisor to medical technology, health system, and life science organizations. In industry, Dr. Lungren served as Chief Scientific Officer for Health and Life Sciences and as AI Technical Advisor in the Office of the CTO at Microsoft.
Dr. Lungren is also a top rated instructor leading AI in Healthcare courses designed especially for learners with non-technical backgrounds:
Stanford/Coursera: https://www.coursera.org/learn/fundamental-machine-learning-healthcare
LinkedIn Learning: https://www.linkedin.com/learning/an-introduction-to-how-generative-ai-will-transform-healthcare -
Katharine (Kate) Maher
Professor of Earth System Science, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Earth and Planetary Sciences
Current Research and Scholarly InterestsHydrology, reactive transport modeling and environmental geochemistry
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
BioChristopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). From 2010, Manning pioneered Natural Language Understanding and Inference using Deep Learning, with impactful research on sentiment analysis, paraphrase detection, the GloVe model of word vectors, attention, neural machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, and summarization, work for which he has received two ACL Test of Time Awards and the IEEE John von Neumann Medal (2024). He earlier led the development of empirical, probabilistic approaches to NLP, computational linguistics, and language understanding, defining and building theories and systems for Natural Language Inference, syntactic parsing, machine translation, and multilingual language processing, work for which he won ACL, Coling, EMNLP, and CHI Best Paper Awards. In NLP education, Manning coauthored foundational textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), and his online CS224N Natural Language Processing with Deep Learning course videos have been watched by hundreds of thousands. In linguistics, Manning is a principal developer of Stanford Dependencies and Universal Dependencies, and has authored monographs on ergativity and complex predicates. He is the founder of the Stanford NLP group (@stanfordnlp) and was an early proponent of open source software in NLP with Stanford CoreNLP and Stanza. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Manning has a B.A. (Hons) from The Australian National University, a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023. He held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford.
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David J. Maron
C. F. Rehnborg Professor and Professor of Medicine (Stanford Prevention Research Center)
Current Research and Scholarly InterestsDr. Maron is the Co-Chair and Principal Investigator of the ISCHEMIA trial, and Co-Chair of the ISCHEMIA-CKD trial. These large, international, NIH-funded studies will determine whether an initial invasive strategy of cardiac catheterization and revascularization plus optimal medical therapy will reduce cardiovascular events in patients with and without chronic kidney disease and at least moderate ischemia compared to an initial conservative strategy of optimal medical therapy alone.
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Jay McClelland
Lucie Stern Professor in the Social Sciences, Professor of Psychology and, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.
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Daniel McFarland
Professor of Education and, by courtesy, of Sociology and of Organizational Behavior at the Graduate School of Business
Current Research and Scholarly InterestsThe majority of my current research projects concern the sociology of science and research innovation. Here are some examples of projects we are pursuing:
1. the process of intellectual jurisdiction across fields and disciplines
2. the process of knowledge innovation and diffusion in science
3. the propagators of scientific careers and advance
4. the role of identity and diversity on the process of knowledge diffusion and career advance
5. the process of research translation across scientific fields and into practice
6. the formal properties and mechanisms of ideational change (network analysis, or holistic conceptions of scientific propositions and ideas)
7. developing methods for identifying the rediscovery of old ideas recast anew
8. investigating the process of scientific review
I am also heavily involved in research on social networks and social network theory development. Some of my work concerns relational dynamics and cognitive networks as represented in communication. This often concerns the communication of children (in their writings and speech in classrooms) and academic scholars.
Last, I am heavily involved in institutional efforts to develop computational social science, computational sociology, and education data science on Stanford's campus. -
Caroline Meinhardt
Senior Policy Research Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioCaroline Meinhardt is a policy research manager at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where she manages the institute's policy research initiatives. Her research focuses on the implementation challenges of AI regulation, the governance of large-scale AI models, healthcare AI policy, and global AI governance approaches. Prior to joining HAI, she worked as a China-focused consultant and analyst, delivering in-depth research and strategic advice regarding China’s development and regulation of emerging technologies, including AI. She holds a Master's in International Policy from Stanford University and a Bachelor's in Chinese Studies from the University of Cambridge.
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Arnold Milstein
Professor of Medicine (General Medical Discipline)
Current Research and Scholarly InterestsDesign national demonstration of innovations in care delivery that provide more with less. Informed by research on AI-assisted clinical workflow, positive value outlier analysis and triggers of loss aversion bias among patients and clinicians.
Research on creation of a national index of health system productivity gain. -
William Mitch
Professor of Civil and Environmental Engineering
BioBill Mitch received a B.A. in Anthropology (Archaeology) from Harvard University in 1993. During his studies, he excavated at Mayan sites in Belize and surveyed sites dating from 2,000 B.C. in Louisiana. He switched fields by receiving a M.S. degree in Civil and Environmental Engineering at UC Berkeley. He worked for 3 years in environmental consulting, receiving his P.E. license in Civil Engineering in California. Returning to UC Berkeley in 2000, he received his PhD in Civil and Environmental Engineering in 2003. He moved to Yale as an assistant professor after graduation. His dissertation received the AEESP Outstanding Doctoral Dissertation Award in 2004. At Yale, he serves as the faculty advisor for the Yale Student Chapter of Engineers without Borders. In 2007, he won a NSF CAREER Award. He moved to Stanford University as an associate professor in 2013.
Employing a fundamental understanding of organic chemical reaction pathways, his research explores links between public health, engineering and sustainability. Topics of current interest include:
Public Health and Emerging Carcinogens: Recent changes to the disinfection processes fundamental to drinking and recreational water safety are creating a host of highly toxic byproducts linked to bladder cancer. We seek to understand how these compounds form so we can adjust the disinfection process to prevent their formation.
Global Warming and Oceanography: Oceanic dissolved organic matter is an important global carbon component, and has important impacts on the net flux of CO2 between the ocean and atmosphere. We seek to understand some of the important abiotic chemical reaction pathways responsible for carbon turnover.
Sustainability and Persistent Organic Pollutants (POPs): While PCBs have been banned in the US, we continue to produce a host of structurally similar chemicals. We seem to understand important chemical pathways responsible for POP destruction in the environment, so we can design less persistent and problematic chemicals in the future.
Engineering for Sustainable Wastewater Recycling: The shortage of clean water represents a critical challenge for the next century, and has necessitated the recycling of wastewater. We seek to understand ways of engineer this process in ways to minimize harmful byproduct formation.
Carbon Sequestration: We are evaluating the formation of nitrosamine and nitraminecarcinogens from amine-based carbon capture, as well as techniques to destroy any of these byproducts that form. -
John Mitchell
Mary and Gordon Crary Family Professor in the School of Engineering, and Professor, by courtesy, of Electrical Engineering and of Education
Current Research and Scholarly InterestsProgramming languages, computer security and privacy, blockchain, machine learning, and technology for education
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Benoît Monin
Bowen H. and Janice Arthur McCoy Professor of Leadership Values and Professor of Psychology
BioBenoît Monin received his Ph.D. in Psychology from Princeton University, and an M.Sc. in Social Psychology at the London School of Economics. He completed his undergraduate studies at ESSEC (France). Monin joined the Stanford Department of Psychology in 2001, and since 2008 he has held appointments both in psychology and in the Organizational Behavior area at the Stanford Graduate School of Business.
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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
Social Science Research Scholar, 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 and Professor of Mechanical Engineering
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 is a political scientist whose research focuses on political communication, digital media, and authoritarian politics. She is the Sir Robert Ho Tung Professor of Chinese Studies, Professor of Communication and (by courtesy) Political Science and Sociology, and a Senior Fellow at the Freeman Spogli Institute.
Dr. Pan's research uses experimental and computational methods with large-scale datasets on political activity to answer questions about the role of digital media in politics, including how political censorship, propaganda, and information manipulation work in the digital age and how preferences and behaviors are shaped as a result. Her work has appeared in peer-reviewed publications such as the 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
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.
