Institute for Human-Centered Artificial Intelligence (HAI)


Showing 101-187 of 187 Results

  • Mark Lemley

    Mark Lemley

    William Neukom Professor of Law and Senior Fellow at the Stanford Institute for Economic Policy Research

    Current Research and Scholarly Interestsintellectual property, Internet, and antitrust law; law and AI/robotics

  • Jure Leskovec

    Jure Leskovec

    Professor of Computer Science

    BioJure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more.

    His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas.

    Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University.

  • Margaret Levi

    Margaret Levi

    Professor of Political Science, Senior Fellow at the Freeman Spogli Institute for International Studies and at the Woods Institute for the Environment

    BioMargaret Levi is Professor of Political Science, Senior Fellow, Center on Democracy, Development and the Rule of Law, Freeman Spogli Institute for International Studies, the former Sara Miller McCune Director and current Faculty Fellow of the Center for Advanced Study in the Behavioral Sciences (CASBS), Senior Fellow of the Woods Institute, and co-director of Ethics, Society and Technology, Stanford University. She is Jere L. Bacharach Professor Emerita of International Studies in the Department of Political Science at the University of Washington. She held the Chair in Politics, the United States Studies Centre at the University of Sydney, 2009-13. At the University of Washington, she was director of the CHAOS (Comparative Historical Analysis of Organizations and States) Center and formerly the Harry Bridges Chair and Director of the Harry Bridges Center for Labor Studies.

    Levi is the winner of the 2019 Johan Skytte Prize and 2020 Falling Walls Prize for Breakthrough of the Year in Social Sciences and Humanities. She became a fellow of the National Academy of Sciences in 2015, the British Academy in 2022, the American Academy of Arts and Sciences in 2001, the American Academy of Political and Social Science in 2017, and the American Philosophical Society in 2018. She was a John Simon Guggenheim Fellow in 2002. She served as president of the American Political Science Association from 2004 to 2005. She is the recipient of the 2014 William H. Riker Prize for Political Science. In 2019 she received an honorary doctorate from Universidad Carlos III de Madrid, 2019.

    Levi is the author or coauthor of numerous articles and six books, including Of Rule and Revenue (University of California Press, 1988); Consent, Dissent, and Patriotism (Cambridge University Press, 1997); Analytic Narratives (Princeton University Press, 1998); Cooperation Without Trust? (Russell Sage, 2005), In the Interest of Others (Princeton, 2013), and A Moral Political Economy (Cambridge, 2021). She explores how organizations and governments provoke member willingness to act beyond material interest.

    She was the general editor of Cambridge Studies in Comparative Politics. She is co-general editor of the Annual Review of Political Science and on the editorial board of PNAS.. Levi serves on the boards of the: Berggruen Institute: Center for Advanced Studies in the Social Sciences (CEACS) in Madrid; Research Council of the Canadian Institute for Advanced Research (CIFAR), and CORE Economics. Levi and her husband, Robert Kaplan, are avid collectors of Australian Aboriginal art. Ancestral Modern, an exhibition drawn from their collection, was on view at the Seattle Art Museum (SAM) in 2012. Yale University Press and SAM co-published the catalog.

    Her fellowships include the Woodrow Wilson in 1968, German Marshall in 1988-9, and the Center for Advanced Study of the Behavioral Sciences in 1993-1994. She has lectured and been a visiting fellow at the Australian National University, the European University Institute, the Max Planck Institute in Cologne, the Juan March Institute, the Budapest Collegium, Cardiff University, Oxford University, Bergen University, and Peking University. She was a Phi Beta Kappa Visiting Scholar in 2005-6. She periodically serves as a consultant to the World Bank.

  • Ron Li

    Ron Li

    Clinical Associate Professor, Medicine

    BioRon Li is a Clinical Associate Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health at Stanford Health Care, he provides medical and informatics direction for the health system's enterprise digital health portfolio, including expanding digital referral networks and virtual care modalities. He is the co-founder and Director for the Stanford Emerging Applications Lab (SEAL), which helps clinicians and staff build ideas into novel digital products that are prototyped and tested for care delivery at Stanford Health Care.

    Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. Ron's work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. He has consulted for various companies in the digital health and artificial intelligence space and is leading work in AI and user experience research in partnership with Google. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is a core faculty for the Stanford Clinical Informatics Fellowship.

  • Percy Liang

    Percy Liang

    Associate Professor of Computer Science, Senior Fellow at the Stanford Institute for HAI, and Associate Professor, by courtesy, of Statistics

    BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).

  • C. Karen Liu

    C. Karen Liu

    Professor of Computer Science

    BioC. Karen Liu is a professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.

  • Matthew Lungren

    Matthew Lungren

    Adjunct Professor, Biomedical Data Science

    BioDr. Lungren is Chief Data Science Officer for Microsoft Health & Life Sciences where he focuses on translating cutting edge technology, including generative AI and cloud services, into innovative healthcare applications. As a physician and clinical machine learning researcher, he maintains a part-time clinical practice at UCSF while also continuing his research and teaching roles as adjunct professor at Stanford University.

    Prior to joining Microsoft, Dr Lungren was a clinical interventional radiologist and research faculty at Stanford University Medical School where he led the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). He later served as Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare, focusing on business development for clinical machine learning technologies in the public cloud.

    His scientific work has led to more than 150 publications, including work on multi-modal data fusion models for healthcare applications, new computer vision and natural language processing approaches for healthcare specific domains, opportunistic screening with machine learning for public health applications, open medical data as public good, prospective clinical trials for clinical AI translation, and application of generative AI in healthcare. He has served as advisor for early stage startups and large fortune-500 companies on healthcare AI technology development and go-to-market strategy. Dr. Lungren's work has been featured in national news outlets such as NPR, Vice News, Scientific American, and he regularly speaks at national and international scientific meetings on the topic of AI in healthcare.

    Dr. Lungren is also a top rated instructor on Coursera where his AI in Healthcare course designed especially for learners with non-technical backgrounds has been completed by more than 20k students around the world - enrollment is open now: https://www.coursera.org/learn/fundamental-machine-learning-healthcare

  • Christopher Manning

    Christopher Manning

    Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for HAI

    BioChristopher Manning is the inaugural Thomas M. Siebel Professor of 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). His research goal is computers that can intelligently process, understand, and generate human languages. Manning was an early leader in applying Deep Learning to Natural Language Processing (NLP), with well-known research on the GloVe model of word vectors, attention, machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, sentiment analysis, and summarization. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning has coauthored leading textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), as well as linguistic monographs on ergativity and complex predicates. His online CS224N Natural Language Processing with Deep Learning videos have been watched by hundreds of thousands of people. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). His research has won ACL, Coling, EMNLP, and CHI Best Paper Awards, and an ACL Test of Time Award. He has a B.A. (Hons) from The Australian National University and a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023, and he held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford. He is the founder of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP and Stanza software.

  • David J. Maron

    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.

  • Jay McClelland

    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.

  • Daniel McFarland

    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 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. I am also co-editing a special issue in Social Networks on "network ecology", and I am a coauthor on a social network methods textbook coming out with Cambridge Press (Forthcoming, by Craig Rawlings, Jeff Smith, James Moody and Daniel McFarland).

    Last, I am heavily involved in institutional efforts to develop computational social science, computational sociology, and education data science on Stanford's campus.

  • Arnold Milstein

    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

    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

    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

  • Benoit Monin

    Benoit Monin

    Bowen H. and Janice Arthur McCoy Professor of Leadership Values and Professor of Psychology

    Current Research and Scholarly InterestsMy research deals with how people address threats to the self in interpersonal situations: How they avoid feeling prejudiced, how they construe other people's behavior to make to their own look good, how they deal with dissonance, how they affirm a threatened identity, how they resent the goodness of others when it makes them look bad, etc. I study these issues in the context of social norms, the self, and morality, broadly defined.

  • Erin Mordecai

    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.

  • Elizabeth Mormino

    Elizabeth Mormino

    Assistant Professor (Research) of Neurology (Neurology Research Faculty)

    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.

  • Mark Musen

    Mark Musen

    Stanford Medicine Professor of Biomedical Informatics Research, Professor of Medicine (Biomedical Informatics) 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.

  • Harikesh Nair

    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

  • Rosamond Naylor

    Rosamond Naylor

    William Wrigley Professor, Professor at the Stanford Doerr School of Sustainability, Senior Fellow at the Woods Institute, at the Freeman Spogli Institute and Professor, by courtesy, of Economics and of Earth System Science

    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

    David Nguyen

    Research Scientist

    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

    Allison Okamura

    Richard W. Weiland Professor in the School of Engineering and Professor, by courtesy, of Computer Science

    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.

  • Kunle Olukotun

    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 Ouellette

    Lisa Ouellette

    Deane F. Johnson Professor of Law 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, as well as a Senior Fellow at the Stanford Institute for Economic Policy Research. Her scholarship addresses empirical and theoretical problems in intellectual property and innovation law. She takes advantage of her training in physics to explore policy issues such as how scientists use the technical information in patents, how scientific expertise might improve patent examination, the patenting of publicly funded research under the Bayh–Dole Act, and the integration of IP with other levers of innovation policy. She has applied these ideas to biomedical innovation challenges including the opioid epidemic, the COVID-19 pandemic, and pharmaceutical prices. She has also written about multiple legal issues in trademark law, about the evidentiary value of online surveys, and about the potential for different standards of review to create what she terms “deference mistakes” in numerous areas of law.

    Professor Ouellette is also an acclaimed teacher and nationally recognized intellectual property law expert. She has coauthored a free patent law casebook, Patent Law: Cases, Problems, and Materials. She has written over 350 posts for her blog, Written Description, and her commentary has appeared in publications including the New York Times, Wall Street Journal, TIME Magazine, and Slate. She has been selected to design and lead pedagogy training for other Stanford Law faculty. In 2018, she received the law school’s John Bingham Hurlbut Award for Excellence in Teaching.

    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 also 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 and a Coker Fellow in Contract Law. She earned a Ph.D. in physics from Cornell University as well as a B.A. in physics from Swarthmore College, and she has conducted scientific research at the Max Planck Institute, CERN, and NIST.

  • Jennifer Pan

    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 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 authoritarian and democratic 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 book, Welfare for Autocrats: How Social Assistance in China Cares for its Rulers (Oxford, 2020) shows how China's pursuit of political order transformed the country’s main social assistance program, Dibao. Her papers have appeared in peer reviewed publications such as the American Political Science Review, American Journal of Political Science, Journal of Politics, Political Communication, and Science.

    She graduated from Princeton University, summa cum laude, and received her Ph.D. from Harvard University’s Department of Government.

  • Marco Pavone

    Marco Pavone

    Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering and 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.

  • Roy Pea

    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

  • VJ Periyakoil, Professor of Medicine

    VJ Periyakoil, Professor of Medicine

    Professor of Medicine (Primary Care and Population Health)

    Current Research and Scholarly InterestsMy research focuses on the intersection of biological, psychosocial and cultural aspects of care of persons with chronic and serious illnesses including dementia.

  • Kilian M Pohl

    Kilian M Pohl

    Professor (Research) of Psychiatry and Behavioral Sciences (Major Labs and Incubator)

    Current Research and Scholarly InterestsThe foundation of the laboratory of Associate Professor Kilian M. Pohl, PhD, 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) and the Adolescent Brain Cognitive Development (ABCD), the largest long-term study of brain development and child health in the US. The laboratory also investigates brain patterns specific to alcohol use disorder 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.

  • Christopher Re

    Christopher Re

    Associate Professor of Computer Science

    Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.

  • Rob Reich

    Rob Reich

    McGregor-Girand Professor of Social Ethics of Science and Technology, Senior Fellow at the Stanford Institute for HAI. Professor, by courtesy, of Education, of Philosophy and Senior Fellow, by courtesy, at FSI
    On Leave from 10/01/2023 To 06/30/2024

    BioRob Reich is professor of political science and, by courtesy, professor of philosophy and at the Graduate School of Education. He is a co-director of the Center on Philanthropy and Civil Society (publisher of the Stanford Social Innovation Review), and associate director of the Institute for Human-Centered Artificial Intelligence. He was faculty director at the Center for Ethics in Society for eight years, and he continues to lead its ethics and technology initiatives.

    His scholarship in political theory engages with the work of social scientists and engineers. His newest work is on ethics and AI. 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 written for the New York Times, Washington Post, Wired, 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, of Giving Tuesday, and at the Spencer Foundation.

  • Thomas Robinson

    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.

  • Fatima Rodriguez

    Fatima Rodriguez

    Associate Professor of Medicine (Cardiovascular Medicine)

    BioFatima Rodriguez, MD, MPH is an Associate Professor in Cardiovascular Medicine and (by courtesy) the Stanford Prevention Research Center. Dr. Rodriguez earned her medical degree from Harvard Medical School and her MPH from the Harvard School of Public Health. She then completed internal medicine residency at Brigham and Women’s Hospital and fellowship in cardiovascular medicine at Stanford University. She currently serves as the Section Chief of Preventive Cardiology. Dr. Rodriguez specializes in cardiovascular disease prevention, inherited lipid disorders, and cardiovascular risk assessment in high-risk populations.

    Dr. Rodriguez’s research includes a range of topics around racial, ethnic, and gender disparities in cardiovascular disease prevention, developing novel interventions to address disparities, and opportunistic screening of coronary artery disease.

  • Daniel Rubin

    Daniel Rubin

    Professor of Biomedical Data Science, of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology

    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.

  • Mehran Sahami

    Mehran Sahami

    Tencent Chair of the of the Computer Science Department, James and Ellenor Chesebrough Professor and Senior Fellow, by courtesy, at the Freeman Spogli Institute for International Studies

    BioMehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Professor (Teaching) in the Computer Science department, he is also a Bass Fellow in Undergraduate Education and previously served as the Associate Chair for Education in Computer Science. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and ethics. He served as co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which created curricular guidelines for college programs in Computer Science at an international level. He has also served as chair of the ACM Education Board, an elected member of the ACM Council, and was appointed by California Governor Jerry Brown to the state's Computer Science Strategic Implementation Plan Advisory Panel.

  • Londa Schiebinger

    Londa Schiebinger

    John L. Hinds Professor of the History of Science

    BioLonda Schiebinger is the John L. Hinds Professor of History of Science in the History Department at Stanford University and Director of the EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment Project. From 2004-2010, Schiebinger served as the Director of Stanford's Clayman Institute for Gender Research. She is a member of the American Academy of Arts and Sciences.

    Professor Schiebinger received her Ph.D. from Harvard University in 1984 and is a leading international authority on gender and science. Over the past thirty years, Schiebinger's work has been devoted to teasing apart three analytically distinct but interlocking pieces of the gender and science puzzle: the history of women's participation in science; gender in the structure of scientific institutions; and the gendering of human knowledge.

    Londa Schiebinger presented the keynote address and wrote the conceptual background paper for the United Nations' Expert Group Meeting on Gender, Science, and Technology, September 2010 in Paris. She presented the findings at the United Nations in New York, February 2011 with an update spring 2014. In 2022, she prepared the background paper for the United Nations 67th session of the Commission on the Status of Women’s priority theme, Innovation and Technological Change, and Education in the Digital Age for Achieving Gender Equality and The Empowerment of all Women and Girls.

    In 2011-2014, Schiebinger entered into major collaborations with the European Commission and the U.S. National Science Foundation to promote Gendered Innovations in Science, Health & Medicine, Engineering, and Environment. This project draws experts from across the U.S., Europe, Canada, and Asia, and was presented at the European Parliament, July 2013 as Gendered Innovations: How Gender Analysis Contributes to Research. In 2018-2020, Schiebinger directed the European Commission Expert Group to produce Gendered Innovations 2: How Inclusive Analysis Contributes to Research and Innovation.

    Schiebinger’s work has been featured in Science: A Framework for Sex, Gender, and Diversity Analysis in Research: Funding Agencies Have Ample Room to Improve Their Policies (2022); Nature: Sex and Gender Analysis Improves Science and Engineering (2019); Nature: Design AI so that it's Fair (2018); Nature: Accounting for Sex and Gender Makes for Better Science (2020).

    Her work in the eighteenth century investigates the circulation of knowledge in the Atlantic World. Her Secret Cures of Slaves: People, Plants, and Medicine in the Eighteenth-Century Atlantic World reconceptualizes research in four areas: first and foremost knowledge of African contributions to early modern science; the historiography of race in science; the history of human experimentation; and the role of science in the eighteenth-century Atlantic world. Her prize-winning Plants and Empire: Colonial Bioprospecting in the Atlantic World investigates women's indigenous knowledge of abortifacients and why this knowledge did not travel.

    Londa Schiebinger has been the recipient of numerous prizes and awards, including the prestigious Alexander von Humboldt Research Prize and John Simon Guggenheim Fellowship. She was awarded an honorary doctorate from the Vrije Universiteit Brussel, Belgium (2013), the Faculty of Science, Lund University, Sweden (2017), and the University of Valencia, Spain (2018); the Berlin Falling Walls Breakthrough Winner in Science & Innovation Management (2022). Her work has been translated into numerous languages. In 2022/23, she served as an advisor to the Berlin University Alliance.

  • Dustin Schroeder

    Dustin Schroeder

    Associate Professor of Geophysics, of Electrical Engineering and Senior Fellow at the Woods Institute for the Environment

    BioMy research focuses on advancing the scientific and technical foundations of geophysical ice penetrating radar and its use in observing and understanding the interaction of ice and water in the solar system. I am primarily interested in the subglacial and englacial conditions of rapidly changing ice sheets and their contribution to global sea level rise. However, a growing secondary focus of my work is the exploration of icy moons. I am also interested in the development and application of science-optimized geophysical radar systems. I consider myself a radio glaciologist and strive to approach problems from both an earth system science and a radar system engineering perspective. I am actively engaged with the flow of information through each step of the observational science process; from instrument and experiment design, through data processing and analysis, to modeling and inference. This allows me to draw from a multidisciplinary set of tools to test system-scale and process-level hypotheses. For me, this deliberate integration of science and engineering is the most powerful and satisfying way to approach questions in Earth and planetary science.

  • Daniel Schwartz

    Daniel Schwartz

    Dean of the Graduate School of Education and the Nomellini & Olivier Professor of Educational Technology

    Current Research and Scholarly InterestsInstructional methods, transfer of learning and assessment, mathematical development, teachable agents, cognition, and cognitive neuroscience.

  • Krish Seetah

    Krish Seetah

    Associate Professor at the Stanford Doerr School of Sustainability, of Oceans, of Anthropology and Senior Fellow at the Woods Institute for the Environment

    BioI am a zooarchaeologist, whose focus is primarily on colonisation and colonialism. My zooarchaeological research has used butchery analysis (with the benefit of professional and ethnographic actualistic experience) to investigate agency within the human-animal relationship. More recently, I have employed geometric morphometrics (GMM) as a mechanism for identifying and distinguishing animal populations. This approach to studying colonial activity centres on understanding how people manipulate animal bodies, both during life and after death.

    Alongside the strictly faunal research is a research interest in technologies associated with animal processing. This has been used to investigate issues of technology, trade and socio-economic attitudes within colonial contexts in the Mediterranean (Venice & Montenegro) and the Baltic (Poland, Latvia & Lithuania).

    I am also the Director of the ‘Mauritian Archaeology and Cultural Heritage’ (MACH) project, which studies European Imperialism and colonial activity. This project centres on the movement of peoples and material cultures, specifically within the contexts of slavery and Diaspora. The work of this project has focused on key sites in Mauritius and is based on a systematic programme of excavation and environmental sampling. The underlying aims are to better understand the transition from slavery to indentured labour following abolition, the extent and diversity of trade in the region and the environmental consequences of intense, monoculture, agriculture.

  • Ross Shachter

    Ross Shachter

    Associate Professor of Management Science and Engineering

    Current Research and Scholarly InterestsProf. Shachter's research has focused on the representation, manipulation, and analysis of uncertainty and probabilistic reasoning in decision systems. As part of this work, he developed the DAVID influence diagram processing system for the Macintosh. He has developed models scheduling patients for cancer follow-up, and analyzing vaccination strategies for HIV and Helobacter pylori.

  • Nigam H. Shah, MBBS, PhD

    Nigam H. Shah, MBBS, PhD

    Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science

    Current Research and Scholarly InterestsWe analyze multiple types of health data (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models for the learning health system.

  • Christopher Sharp, MD

    Christopher Sharp, MD

    Clinical Professor, Medicine - Primary Care and Population Health

    Current Research and Scholarly InterestsClinical Informatics
    Clinical Education
    Teaching Physical Examination
    Quality Improvement
    Preventive Medicine

  • Lars Steinmetz

    Lars Steinmetz

    Dieter Schwarz Foundation Endowed Professor and Professor of Genetics

    Current Research and Scholarly InterestsWe apply diverse genomic approaches to understand how genetic variation affects health and disease by: 1) functional and mechanistic analyses of gene regulation, 2) studies of meiotic recombination and inheritance, 3) analyses of genetic and environmental interactions, and 4) characterization of diseases in human cells and model organisms. We integrate wet lab and computational genomic, transcriptomic, proteomic and metabolic approaches, and develop technologies to enable personalized medicine.

  • Mitchell L. Stevens

    Mitchell L. Stevens

    Professor of Education and. by courtesy, of Sociology
    On Leave from 09/01/2023 To 04/30/2024

    Current Research and Scholarly InterestsMy most recent book is Seeing the World: How US Universities Make Knowledge in a Global Era, coauthored with Cynthia Miller-Idriss and Seteney Shami.

    With Ben Gebre-Medhin (UC Berkeley) I developed a synthetic account of change in US higher education.

    With Mike Kirst I edited a volume on the organizational ecology of US colleges and universities.

    With Arik Lifschitz and Michael Sauder I developed a theory of sports and status in US higher education.

    Earlier work on college admissions, home education, and (with Wendy Espeland) quantification continues to inform my scholarly world view.

  • Jenny Suckale

    Jenny Suckale

    Associate Professor of Geophysics and, Senior Fellow, by courtesy, at the Woods Institute for the Environment

    BioMy research group studies disasters to reduce the risk they pose. We approach this challenge by developing customized mathematical models that can be tested against observational data and are informed by community needs through a scientific co-production process. We intentionally work on extremes across different natural systems rather than focusing on one specific natural system to identify both commonalities in the physical processes driving extremes and in the best practices for mitigating risk at the community level. Our current research priorities include volcanic eruptions, ice-sheet instability, permafrost disintegration, induced seismicity and flood-risk mitigation. I was recently awarded the Presidential Early Career Awards for Scientists and Engineers, the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers and the CAREER award from the National Science Foundation.

  • Elaine Treharne

    Elaine Treharne

    Roberta Bowman Denning Professor and Professor, by courtesy, of German Studies and of Comparative Literature

    BioI am a Welsh medievalist with specializations in manuscript studies, archives, information technologies, and early British literature. I have published widely in this area, focusing on religious poetry and prose, and manuscripts from c.600 to c.1300. I teach core courses in British Literary History, on Text Technologies, and Palaeography and Archival Studies. I supervise honors students and graduate students working in early literature, Book History, and Digital Humanities and I am committed to providing a supportive and ethical environment in all my work. My current projects focus on death and trauma, on manuscripts and on the long history of writing systems. I am co-editing a revised version of N. R. Ker’s Catalogue of Manuscripts containing Anglo-Saxon for Oxford University Press (2025). I recently published Perceptions of Medieval Manuscripts: The Phenomenal Book with OUP in 2021; A Very Short Introduction to Medieval Literature (OUP, 2015); Living Through Conquest: The Politics of Early English (OUP, 2012); and the Cambridge Companion to British Medieval Manuscripts, co-edited with Dr Orietta Da Rold for CambridgeUP in 2020.

    I am the Director of Stanford Text Technologies (https://texttechnologies.stanford.edu), and, with Claude Willan, published Text Technologies: A History in 2019 (StanfordUP). Other projects include CyberText Technologies; research into the long history of personal archives; and Medieval Networks of Memory with Mateusz Fafinski, which analyzes two thirteenth-century mortuary rolls. Text Technologies' initiatives include an annual collegium now in its seventh year: the first, on “Distortion” was published as Textual Distortion in 2017; the fourth was published by Routledge as Medieval Manuscripts in the Digital Age in 2020. I am the Principal Investigator of the NEH-Funded 'Stanford Global Currents' (https://globalcurrents.stanford.edu/) and Co-PI of the AHRC-funded research project and ebook, The Production and Use of English Manuscripts, 1060 to 1220 (Leicester, 2010; version 2.0 https://em1060.stanford.edu/). With Benjamin Albritton, I run Stanford Manuscript Studies; and with Thomas Mullaney and Kathryn Starkey, I co-direct SILICON (https://silicon.stanford.edu/).

    I have been an American Philosophical Society Franklin Fellow, a Princeton Procter Fellow, and a Fellow of the Stanford Clayman Institute for Gender Studies. I'm a Fellow of the Society of Antiquaries; a Fellow of the Royal Historical Society; an Honorary Lifetime Fellow of the English Assocation (and former Chair and President); and a Fellow of the Learned Society of Wales. In April 2021, I became a Trustee of the National Library of Wales, Aberystwyth (https://www.llgc.org.uk/).

  • Minang (Mintu) Turakhia

    Minang (Mintu) Turakhia

    Professor of Medicine (Cardiovascular Medicine)
    On Leave from 05/23/2022 To 05/22/2024

    Current Research and Scholarly InterestsDr. Turakhia has an active clinical research program, with funding from AHA, VA, NIH, the medical device industry, and foundations. His research program aims to improve the treatment of heart rhythm disorders, with an emphasis on atrial fibrillation, by evaluating quality and variation of care, comparative and cost-effectiveness of therapies, and risk prediction. Dr. Turakhia has extensive expertise in using large administrative and claims databases for this work. His TREAT-AF retrospective study of over 500,000 patients with newly-diagnosed AF is the largest known research cohort of AF patients. He has served as study PI or chairman of several prominent single- and multicenter trials in atrial fibrillation, investigational devices for electrophysiology procedures, digital health interventions, and sensor technologies.

    His other research interests include technology assessment of new device-based therapies and the impact of changing health policy and reform on the delivery of arrhythmia care. Dr. Turakhia is a Fellow of the American Heart Association, American College of Cardiology, and Heart Rhythm Society.

  • Frederick Turner

    Frederick Turner

    Harry and Norman Chandler Professor of Communication, Akiko Yamazaki and Jerry Yang University Fellow in Undergraduate Education and Professor, by courtesy, of Art and Art History and of History

    BioFred Turner’s research and teaching focus on media technology and cultural change. He is especially interested in the ways that emerging media have helped shape American life since World War II.

    Turner is the author of three books: The Democratic Surround: Multimedia and American Liberalism from World War II to the Psychedelic Sixties; From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network and the Rise of Digital Utopianism; and Echoes of Combat: The Vietnam War in American Memory. His essays have tackled topics ranging from the rise of reality crime television to the role of the Burning Man festival in contemporary new media industries. They are available here: fredturner.stanford.edu/essays/.

    Turner’s research has received a number of academic awards and has been featured in publications ranging from Science and the New York Times to Ten Zen Monkeys. It has also been translated into French, Spanish, German, Polish and Chinese.

    Turner is also the Akiko Yamazaki and Jerry Yang University Fellow in Undergraduate Education. Before joining the faculty at Stanford, Turner taught Communication at Harvard University’s John F. Kennedy School of Government and the Massachusetts Institute of Technology. He also worked as a freelance journalist for ten years, writing for the Boston Sunday Globe Magazine, the Boston Phoenix, and the Pacific News Service.

    Turner earned his Ph.D. in Communication from the University of California, San Diego. He has also earned a B.A. in English and American Literature from Brown University and an M.A. in English from Columbia University.

  • Camille Utterback

    Camille Utterback

    Associate Professor of Art and Art History and, by courtesy, of Computer Science

    BioCamille Utterback is an internationally acclaimed artist whose interactive installations and reactive sculptures engage participants in a dynamic process of kinesthetic discovery and play. Utterback’s work explores the aesthetic and experiential possibilities of linking computational systems to human movement and gesture in layered and often humorous ways. Her work focuses attention on the continued relevance and richness of the body in our increasingly mediated world.

    Her work has been exhibited at galleries, festivals, and museums internationally, including The Frist Center for Visual Arts, Nashville, TN; The Orange County Museum of Art, Newport Beach, CA; ZERO1 The Art & Technology Network, San Jose, CA; The New Museum of Contemporary Art, The American Museum of the Moving Image, New York; The NTT InterCommunication Center, Tokyo; The Seoul Metropolitan Museum of Art; The Netherlands Institute for Media Art; The Taipei Museum of Contemporary Art; The Center for Contemporary Art, Kiev, Ukraine; and the Ars Electronica Center, Austria. Utterback’s work is in private and public collections including Hewlett Packard, Itaú Cultural Institute in São Paolo, Brazil, and La Caixa Foundation in Barcelona, Spain.

    Awards and honors include a MacArthur Foundation Fellowship (2009), a Transmediale International Media Art Festival Award (2005), a Rockefeller Foundation New Media Fellowship (2002) and a commission from the Whitney Museum for the CODeDOC project on their ArtPort website (2002). Utterback holds a US patent for a video tracking system she developed while working as a research fellow at New York University (2004). Her work has been featured in The New York Times (2010, 2009, 2003, 2002, 2001), Art in America (October, 2004), Wired Magazine (February 2004), ARTnews (2001) and many other publications. It is also included in Thames & Hudson’s World of Art – Digital Art book (2003) by Christiane Paul.

    Recent public commissions include works for the Liberty Mutual Group, the FOR-SITE Foundation, The Sacramento Airport, The City of San Jose, California, The City of Fontana, California, and the City of St. Louis Park, Minnesota. Other commissions include projects for The American Museum of Natural History in New York, The Pittsburgh Children’s Museum, The Manhattan Children’s Museum, Herman Miller, Shiseido Cosmetics, and other private corporations.

    Utterback is currently an Assistant Professor in the Art and Art History Department at Stanford University. She holds a BA in Art from Williams College, and a Masters degree from The Interactive Telecommunications Program at New York University’s Tisch School of the Arts. She currently lives and works in San Francisco.

  • Melissa Valentine

    Melissa Valentine

    Associate Professor of Management Science and Engineering

    Current Research and Scholarly InterestsAs societies develop and adopt new technologies, they fundamentally change how work is organized. The intertwined relationship between technology and organizing has played out time and again, and scholars predict that new internet and data analytic technologies will spur disruptive transformations to work and organizing.

    These changes are already well-documented in the construction of new market arrangements by companies such as Upwork and TaskRabbit, which defined new categories of “gig workers.” Yet less is known about how internet and data analytic technologies are transforming the design of large, complex organizations, which confront and solve much different coordination problems than gig platform companies.

    Questions related to the structuring of work in bureaucratic organizations have been explored for over a century in the industrial engineering and organizational design fields. Some of these concepts are now so commonplace as to be taken for granted. Yet there was a time when researchers, workers, managers, and policymakers defined and constructed concepts including jobs, careers, teams, managers, or functions.

    My research program argues that some of these fundamental concepts need to be revisited in light of advances in internet and data analytic technologies, which are changing how work is divided and integrated in organizations and broader societies. I study how our prior notions of jobs, teams, departments, and bureaucracy itself are evolving in the age of crowdsourcing, algorithms, and increasing technical specialization. In particular, my research is untangling how data analytic technologies and hyper-specialization shape the division and integration of labor in complex, collaborative production efforts characteristic of organizations.

  • Gregory Valiant

    Gregory Valiant

    Associate Professor of Computer Science

    Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.

  • Dennis Wall

    Dennis Wall

    Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences

    Current Research and Scholarly InterestsSystems biology for design of clinical solutions that detect and treat disease

  • C. Jason Wang, MD, PhD

    C. Jason Wang, MD, PhD

    LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy

    BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) COVID-19 related policies; 2) developing tools for assessing and improving the value of healthcare; 3) facilitating the use of mobile technology in improving quality of care; 4) supporting competency-based medical education curriculum, and 5) engaging in healthcare delivery and payment reforms.

  • Ge Wang

    Ge Wang

    Associate Professor of Music, Senior Fellow at the Stanford Institute for HAI and Associate Professor, by courtesy, of Computer Science

    BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)

  • Victoria Ward

    Victoria Ward

    Clinical Associate Professor, Pediatrics

    Current Research and Scholarly InterestsGlobal child health, digital health, preterm birth, human trafficking

  • Jeremy Weinstein

    Jeremy Weinstein

    Kleinheinz Family Professor of International Studies and Senior Fellow at the Freeman Spogli Institute for International Studies and at the Stanford Institute for Economic Policy Research

    Current Research and Scholarly InterestsCivil War, Ethnic Politics, Political Economy of Development, Democracy and Accountability, Africa

  • Terry Winograd

    Terry Winograd

    Professor of Computer Science, Emeritus

    BioProfessor Winograd's focus is on human-computer interaction design and the design of technologies for development. He directs the teaching programs and HCI research in the Stanford Human-Computer Interaction Group, which recently celebrated it's 20th anniversary. He is also a founding faculty member of the Hasso Plattner Institute of Design at Stanford (the "d.school") and on the faculty of the Center on Democracy, Development, and the Rule of Law (CDDRL)

    Winograd was a founding member and past president of Computer Professionals for Social Responsibility. He is on a number of journal editorial boards, including Human Computer Interaction, ACM Transactions on Computer Human Interaction, and Informatica. He has advised a number of companies started by his students, including Google. In 2011 he received the ACM SIGCHI Lifetime Research Award.

  • Jiajun Wu

    Jiajun Wu

    Assistant Professor of Computer Science

    BioJiajun Wu is an Assistant Professor of Computer Science at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from J.P. Morgan, Samsung, Amazon, and Meta.

  • Lei Xing

    Lei Xing

    Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering

    Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization

  • Daniel Yamins

    Daniel Yamins

    Assistant Professor of Psychology and of Computer Science

    Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:

    H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.

    H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.

    We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.

  • Seema Yasmin

    Seema Yasmin

    Clinical Assistant Professor, Medicine - Primary Care and Population Health

    BioSeema Yasmin is an Emmy Award-winning journalist, poet, medical doctor and author. Yasmin served as an officer in the Epidemic Intelligence Service at the U.S. Centers for Disease Control and Prevention where she investigated disease outbreaks and was principal investigator on a number of CDC studies. Yasmin trained in journalism at the University of Toronto and in medicine at the University of Cambridge.

    Yasmin was a finalist for the Pulitzer Prize in breaking news in 2017 with a team from The Dallas Morning News for coverage of a mass shooting, and recipient of an Emmy for her reporting on neglected diseases. She received multiple grants from the Pulitzer Center on Crisis Reporting for coverage of gender based violence in India and the aftermath of the Ebola epidemic in West Africa. In 2017, Yasmin was a John S. Knight Fellow in Journalism at Stanford University investigating the spread of health misinformation and disinformation during public health crises. Previously she was a science correspondent at The Dallas Morning News, medical analyst for CNN, and professor of public health at the University of Texas at Dallas. She teaches crisis management and crisis communication at the UCLA Anderson School of Management as a Visiting Assistant Professor.

    She is the author of eight non-fiction, fiction, poetry and childrens books, including: What the Fact?! Finding the Truth in All the Noise (Simon and Schuster, 2022); Viral BS: Medical Myths and Why We Fall For Them (Johns Hopkins University Press, 2021); Muslim Women Are Everything: Stereotype-Shattering Stories of Courage, Inspiration and Adventure (HarperCollins, 2020); If God Is A Virus: Poems (Haymarket, 2021); Unbecoming: A Novel (Simon and Schuster, 2024); Djinnology: An Illuminated Compendium of Spirits and Stories from the Muslim World (Chronicle, 2024); and The ABCs of Queer History (Workman Books, 2024). Her writing appears in The New York Times, Rolling Stone, WIRED, Scientific American and other outlets.

    Yasmin’s unique expertise in epidemics and communications has been called upon by the Vatican, the Presidential Commission for the Study of Bioethical Issues, the Aspen Institute, the Skoll Foundation, the Biden White House, and others. She teaches a new paradigm for trust-building and evidence-based communication to leadership at the World Health Organization and CDC. In 2019, she was the inaugural director of the Stanford Health Communication Initiative.

    Her scholarly work focuses on the spread of scientific misinformation and disinformation, information equity, and the varied susceptibilities of different populations to false information about health and science. In 2020, she received a fellowship from the Emerson Collective for her work on inequitable access to health information. She teaches multimedia storytelling to medical students in the REACH program.

  • Serena Yeung

    Serena Yeung

    Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

    BioDr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.

    Dr. Yeung leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, the Center for Artificial Intelligence in Medicine & Imaging, the Center for Human-Centered Artificial Intelligence, and Bio-X. She also serves on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.

  • Greg Zaharchuk

    Greg Zaharchuk

    Professor of Radiology (Neuroimaging and Neurointervention)

    Current Research and Scholarly InterestsImproving medical image quality using deep learning artificial intelligence
    Imaging of cerebral hemodynamics with MRI and CT
    Noninvasive oxygenation measurement with MRI
    Clinical imaging of cerebrovascular disease
    Imaging of cervical artery dissection
    MR/PET in Neuroradiology
    Resting-state fMRI for perfusion imaging and stroke

  • Edward Zalta

    Edward Zalta

    Sr. Research Scholar

    BioDr. Edward N. Zalta is a Senior Research Scholar at the Center for the Study of Language and Information at Stanford University. He obtained an honors B.A. from Rice University in 1975, and a Ph.D. in Philosophy from the University of Massachusetts/Amherst in 1981. His research specialties include metaphysics/ontology, philosophy of mathematics, computational metaphysics, philosophical and philosophy of logic, and intensional logic, among others. Zalta has published two books (*Abstract Objects: An Introduction to Axiomatic Metaphysics*, D. Reidel, 1983; and *Intensional Logic and the Metaphysics of Intentionality*, MIT Press, 1988), as well as articles in the Journal of Philosophy, Mind, the Journal of Philosophical Logic, Noûs, and elsewhere. He has taught courses and lectured at universities around the world and is the recipient of the K. Jon Barwise Prize (2016, awarded by the American Philosophical Association, Committee on Computing and Philosophy) and the Covey Award (2009, awarded by the International Association for Computing and Philosophy). Zalta also designed the online Stanford Encyclopedia of Philosophy <http://plato.stanford.edu/> and now serves as its Principal Editor. For further information, see <http://mally.stanford.edu/zalta.html>.

  • James Zou

    James Zou

    Associate Professor of Biomedical Data Science

    Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.

    We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.