Institute for Human-Centered Artificial Intelligence (HAI)


Showing 151-200 of 261 Results

  • 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.

  • Nestor Maslej

    Nestor Maslej

    Research Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    BioNestor Maslej is a Research Manager at Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). In this position, he manages the AI Index and Global AI Vibrancy Tool. In developing tools that track the advancement of AI, Nestor hopes to make the AI space more accessible to policymakers, business leaders and the lay public.

    Nestor’s work on AI, namely the AI Index, has been cited in newspapers across the globe including: The New York Times, Financial Times, Bloomberg, The Washington Post, The Guardian, Vox, Al Jazeera, Fortune, Forbes, San Francisco Chronicle, Politico, The Register, Der Spiegel, The Verge, IEEE Spectrum, VentureBeat and more. Nestor’s publications have likewise informed AI policymaking worldwide, having been referenced by policymakers in countries such as the United States, Canada, Germany, the United Kingdom, China, Japan as well as Korea.

    Nestor also speaks frequently about trends in AI, having briefed high-level US policymakers, testified in front of both the Canadian and Italian parliaments and presented to CEOs from a plethora of industries. Nestor is also a fellow at the Centre for International Governance Innovation (CIGI) where he regularly writes opinion pieces on developments in AI. In his spare time, when he is not musing about AI, Nestor likes to hike, ski, cook and read.

    Prior to joining HAI, Nestor worked in Toronto as an analyst in several startups. He graduated from the University of Oxford in 2021 with an MPhil in Comparative Government (Distinction), and Harvard College in 2017 with an A.B. in Social Studies (Magna Cum Laude, PBK).

  • Jay McClelland

    Jay McClelland

    Lucie Stern Professor in the Social Sciences, Professor of Psychology and, by courtesy, of Linguistics and of Computer Science
    On Leave from 04/01/2024 To 06/30/2024

    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.

  • Caroline Meinhardt

    Caroline Meinhardt

    Policy Research Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    BioCaroline Meinhardt is the policy research manager at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where she develops and oversees policy research initiatives. She is passionate about harnessing AI governance research to inform policies that ensure the safe and responsible development of AI around the world—with a focus on research on the privacy implications of AI development, the implementation challenges of AI regulation, and the governance of large-scale AI models. Prior to joining HAI, Caroline worked as a China-focused consultant and analyst, managing and 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.

  • 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
    On Leave from 04/01/2024 To 06/30/2024

    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

    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.

  • Megan J. Palmer

    Megan J. Palmer

    Adjunct Professor, Bioengineering

    BioDr. Megan J. Palmer is the Executive Director of Bio Policy & Leadership Initiatives at Stanford University. In this role, Dr. Palmer leads integrated research, teaching and engagement programs to explore how biological science and engineering is shaping our societies, and to guide innovation to serve public interests. Based in the Department of Bioengineering, where she is also an Adjunct Professor, she works closely both with groups across the university and with stakeholders in academia, government, industry and civil society around the world.

    In addition to fostering broader efforts, Dr. Palmer leads a focus area in biosecurity in partnership with the Freeman Spogli Institute for International Studies (FSI) at Stanford. Projects in this area examine how security is conceived and managed as biotechnology becomes increasingly accessible. Her current projects include assessing strategies for governing dual use research, analyzing the diffusion of safety and security norms and practices, and understanding the security implications of alternative technology design decisions.

    Dr. Palmer has created and led many programs aimed at developing and promoting best practices and policies for the responsible development of bioengineering. She currently co-chairs the World Economic Forum Global Future Council on Synthetic Biology and in a member of the Council of the Engineering Biology Research Consortium (EBRC). For the last ten years she has led programs in safety, security and social responsibility for the international Genetically Engineered Machine (iGEM) competition, which in 2019 involved over 6000 students in 353 teams from 48 countries. She also founded and serves as Executive Director of the Synthetic Biology Leadership Excellence Accelerator Program (LEAP), an international fellowship program in biotechnology leadership. She advises and works with many other organizations on their strategies for the responsible development of bioengineering, including serving on the board of directors of Revive & Restore, a nonprofit organization advancing biotechnologies for conservation.

    Previously, Megan was a Senior Research Scholar and William J. Perry Fellow in International Security at the Center for International Security and Cooperation (CISAC), part of FSI, where she is now an affiliated researcher. She also spent five years as Deputy Director of Policy and Practices for the multi-university NSF Synthetic Biology Engineering Research Center (Synberc). She has previously held positions as a project scientist at the California Center for Quantitative Bioscience at the University of California Berkeley (where she was an affiliate of Lawrence Berkeley National Labs), and a postdoctoral scholar in the Bioengineering Department at Stanford University. Dr. Palmer received her Ph.D. in Biological Engineering from M.I.T. and a B.Sc.E. in Engineering Chemistry from Queen’s University, Canada.

  • 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.

  • Vanessa Parli

    Vanessa Parli

    Director of Research Programs, Institute for Human-Centered Artificial Intelligence (HAI)

    BioVanessa Parli is the Director of Research at HAI. She leads the HAI grant programs, research convenings, student groups and “state of AI” reports such as the AI 100 and the AI Index where she is a member of the Steering Committee. Her team also analyzes the effectiveness of these programs to continuously improve HAI’s ability to foster interdisciplinary research collaborations internal and external to Stanford. Prior to Stanford, Vanessa worked in management consulting where she utilized statistics, machine learning and other data science methodologies to advise government agencies, large biotech companies and nonprofit organizations. Vanessa holds an MS in Engineering Management and Computational Mathematics from Johns Hopkins University and a BA in Industrial Engineering from Arizona State University.

  • 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

  • Kaci Danae Peel

    Kaci Danae Peel

    Events Manager, Institute for Human-Centered Artificial Intelligence (HAI)

    Current Role at StanfordEvent Planner, Stanford Institute for Human-Centered AI (HAI)

  • 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) and, by courtesy, of Electrical Engineering

    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.

  • Christine Raval

    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. Christine graduated with a Master of Public Administration from the University of Nebraska at Omaha and a BA in Justice and Society from Creighton University.

  • Christopher Re

    Christopher Re

    Associate Professor of Computer Science
    On Leave from 04/01/2024 To 06/30/2024

    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.

  • Ahmad Rushdi

    Ahmad Rushdi

    Senior Manager of Research Collaborations, Institute for Human-Centered Artificial Intelligence (HAI)

    BioAhmad A. Rushdi is a Sr. Research Manager at the Stanford Institute for Human-Centered AI (HAI). He works with the diverse machine learning, deep learning, and artificial intelligence communities across Stanford and the corporate world, in order to envision, build, and maintain new bridges around cutting-edge research that would create useful and trusted systems for a variety of AI applications.

    Dr. Rushdi's research interests include statistical signal processing and uncertainty quantification methods applied to machine learning models trained on time-series and real/synthetic image datasets. His publications span system design, communications, genomics, meshing, and national security applications.

    Prior to joining Stanford, Ahmad was a research scientist at the Center for Computing Research of Sandia National Laboratories, an R&D manager of data science at Northrop Grumman Corporation, a research fellow at the Department of Electrical and Computer Engineering of UC Davis and the Computational Visualization Center under Oden Institute for Computational Engineering and Sciences at UT Austin, and an R&D engineer at Cisco Systems.

    Ahmad holds a PhD in Electrical and Computer Engineering from the University of California, Davis, and MSc/BSc degrees in Electrical Engineering from Cairo University.