Institute for Human-Centered Artificial Intelligence (HAI)


Showing 101-200 of 259 Results

  • Jackelyn Hwang

    Jackelyn Hwang

    Assistant Professor of Sociology

    BioJackelyn Hwang is an Assistant Professor in the Department of Sociology and a faculty affiliate at the Center for Comparative Studies in Race and Ethnicity and the Urban Studies Program. Jackelyn’s main research interests are in the fields of urban sociology, race and ethnicity, immigration, and inequality. In particular, her research examines the relationship between how neighborhoods change and the persistence of neighborhood inequality by race and class in US cities. Her current projects focus on the causes and consequences of gentrification and developing automated methods for measuring neighborhood change using Google Street View imagery.

    Jackelyn received her B.A.S. in Sociology and Mathematics from Stanford University and her Ph.D. in Sociology and Social Policy from Harvard University. After completing her Ph.D., she was a Postdoctoral Research Fellow in the Office of Population Research at Princeton University. Her research has been supported by the American Sociological Association, the Joint Center for Housing Studies, the National Science Foundation, among others. Her work has appeared in the American Sociological Review, Demography, Social Forces, and other academic journals.

  • Daniel Imler

    Daniel Imler

    Clinical Associate Professor, Emergency Medicine
    Clinical Associate Professor, Pediatrics

    Current Research and Scholarly InterestsI am interested in understanding the impact of smart, agile clinical pathways to drive behavior change among providers.

  • Ramesh Johari

    Ramesh Johari

    Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering

    BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).

  • Amit Kaushal

    Amit Kaushal

    Adjunct Professor, Bioengineering
    Instructor, Stanford Center for Professional Development

    BioAmit Kaushal, MD, PhD is Clinical Associate Professor of Medicine (Stanford-VA) and Adjunct Professor of Bioengineering at Stanford University. Dr. Kaushal's work spans clinical medicine, teaching, research, and industry.

    He helped launch Stanford School of Engineering's undergraduate major in Biomedical Computation (bmc.stanford.edu) and has served as long-time director of the major. The major has graduated over 70 students since inception and was recently featured in Nature (https://go.nature.com/2P2UnRu).

    His research interests are in utilizing health data in novel and ethical ways to improve the practice of medicine. He is a faculty executive member of Stanford's Partnership for AI-Assisted Care (aicare.stanford.edu). Recently, he has also been working with public health agencies to improve scale and speed of contact tracing for COVID-19.

    He has previously held executive and advisory roles at startups working at the interface of technology and healthcare.

    He continues to practice as an academic hospitalist.

    Dr. Kaushal completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics), and residency training at Stanford. He is board-certified in Internal Medicine and Clinical Informatics.

  • Monroe Kennedy III

    Monroe Kennedy III

    Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsMy research focus is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. My research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. My Assistive Robotics and Manipulation lab focuses heavily on both the analytical and experimental components of assistive technology design.

  • Khizer Khaderi MD, MPH

    Khizer Khaderi MD, MPH

    Clinical Associate Professor, Ophthalmology

    BioDr. Khizer Khaderi is a Clinical Associate Professor at the Byers Eye Institute at Stanford University. Khaderi is the Founding Director of the Stanford Human Perception Laboratory (HPL) and the Stanford Vision Performance Center (VPC). He also serves as faculty at the Stanford Institute for Human-Centered AI and the Wu Tsai Human Performance Alliance (HPA)

    Khaderi is a renowned Neuro-Ophthalmic surgeon, technologist and futurist. Dr. Khaderi is pioneering the field of Symbiotics, defined as the convergence of human science + computer science to design and develop human-centric technologies. Khaderi has extensive domain expertise in artificial intelligence (AI), spatial computing (virtual reality (VR), augmented reality (AR), mixed reality (MxR)), wearables, gaming, IoT, Web3, applied neuroscience, human factors, and human-machine interfaces/interaction. His research interests include developing personalized human intelligent systems based on the human brain and sensory systems, developing technologies to optimize human performance, and combining biological and computational principles to expand our capabilities in research, clinical practice, and everyday life. Dr. Khaderi's approach to advance research interests and develop practical applications for everyday use is building technology, companies and collaborative partnerships across academia and industry.

    Dr. Khaderi’s experience across industry sectors include consumer electronics, gaming, retail, life science, sports/Esports health care, Pharma, e-commerce, to name a few. He has developed novel technologies in these areas, and generated multiple invention patents. Selected as a “40 under 40”, he contributed to President Obama’s Council of Advisors on Science and Technology regarding vision technology and the aging population. He also advises multiple companies, venture firms and organizations including the Global Esports Federation, Magic Leap, Riot Games, Intel, Activision, Unity, Epic Games, Google, FB, Microsoft, Apple, NBA, Aerie Pharma, the World Health Organization, and the World Bank.

  • Oussama Khatib

    Oussama Khatib

    Weichai Professor and Professor, by courtesy, of Electrical Engineering

    BioRobotics research on novel control architectures, algorithms, sensing, and human-friendly designs for advanced capabilities in complex environments. With a focus on enabling robots to interact cooperatively and safely with humans and the physical world, these studies bring understanding of human movements for therapy, athletic training, and performance enhancement. Our work on understanding human cognitive task representation and physical skills is enabling transfer for increased robot autonomy. With these core capabilities, we are exploring applications in healthcare and wellness, industry and service, farms and smart cities, and dangerous and unreachable settings -- deep in oceans, mines, and space.

  • Jennifer King

    Jennifer King

    HAI Privacy and Data Policy Fellow

    Current Research and Scholarly InterestsI research information privacy from the user's perspective (HCI) across multiple domains, including: online commercial contexts, IoT/Ubicomp, human genetics. I conduct both theoretical and applied privacy research, with a focus on the impacts of law and policy on privacy. My dissertation research explored the effects of social structures (such as power differentials) on individuals' decisions to disclose personal information in commercial contexts.

  • Brian Knutson

    Brian Knutson

    Professor of Psychology

    Current Research and Scholarly InterestsMy lab and I seek to elucidate the neural basis of emotion (affective neuroscience), and explore implications for decision-making (neuroeconomics) and psychopathology (neurophenomics).

  • Mykel Kochenderfer

    Mykel Kochenderfer

    Associate Professor of Aeronautics and Astronautics and, by courtesy, of Computer Science

    BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.

  • Rohini Kosoglu

    Rohini Kosoglu

    Biodesign Collaborator, School of Medicine - MDRP'S - Biodesign Program

    BioRohini Kosoglu is a leading national expert on domestic policy and veteran of the White House, Congress, and presidential campaigns. She currently serves as a Policy Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Director of Public Policy and Political Affairs at the Stanford Byers Center for Biodesign. She is also a Venture Partner at Fusion Fund, a venture firm that focuses on early-stage technology and health care investments. Kosoglu has been at the forefront of driving transformative change in social, technology, and economic policy over the last two decades. She also has the distinction of being the first South Asian American woman to hold the roles of both Domestic Policy Advisor to the Vice President and Chief of Staff in the United States Senate.

    Kosoglu recently served as Deputy Assistant to the President and Domestic Policy Advisor to the Vice President. In this role, Kosoglu became the first Asian American woman to hold this position. She led and promoted initiatives on behalf of the President and Vice President to strengthen democracy, advance gender and racial equity, and create economic mobility for millions of American workers and families. Kosoglu also served as a key advisor during the creation and implementation of the American Rescue Plan, including the national response to the COVID-19 crisis, the CHIPS Act, the AI Bill of Rights, the bipartisan infrastructure law and the Cancer Moonshot. On behalf of the Vice President, she helped forge a number of public-private partnerships in the White House, ultimately driving billions of private sector dollars towards national priorities of the President and Vice President and leveraged the strengths of both the government and private-sector. Vice President Harris praised Kosoglu as “a brilliant and trusted leader” who “brought vision, strategic judgement, and a depth of experience as our Administration has addressed some of the most urgent challenges facing our nation.”

    Earlier, Kosoglu made history as the first South Asian American woman to serve as Chief of Staff in the United States Senate under then-U.S. Senator Kamala Harris. She managed hearing preparations for some of the highest-profile Senate hearings over the last decade including investigations around data privacy, cybersecurity, and social media interference during the 2016 U.S. presidential election, as well as Supreme Court nomination hearings. Additionally, under her organizational leadership, the Joint Center for Political and Economic Studies named Harris’ office under Kosoglu's tenure as the most diverse in the U.S. Senate.

    Kosoglu’s career in the United States Congress has also included over a decade of leadership positions crafting social, economic, and technology policy initiatives with senior Democratic Senators, including U.S. Senator Michael Bennet of Colorado and U.S. Senator Debbie Stabenow of Michigan. Notably, Kosoglu was a key negotiator during the passage of the historic Affordable Care Act. She also was a lead negotiator and drafter during the reform of the Food and Drug Administration which led to landmark designations for approval of innovative drugs and devices, known today as Breakthrough Therapies and Breakthrough Devices, respectively, as well as laws to strengthen patient-centered care in the 21st Century Cures Act.

    Kosoglu was a former resident fellow at the Harvard Institute of Politics at the Kennedy School and received her bachelor’s degree with honors from the University of Michigan and a master’s degree from George Washington University. She serves on several nonprofit boards and advises across the public and private sectors.

  • Anshul Kundaje

    Anshul Kundaje

    Associate Professor of Genetics and of Computer Science

    Current Research and Scholarly InterestsWe develop statistical and machine learning frameworks to learn predictive, dynamic and causal models of gene regulation from heterogeneous functional genomics data.

  • Monica Lam

    Monica Lam

    Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering

    BioDr. Monica Lam is a Professor in the Computer Science Department at Stanford University, and the Faculty Director of the Stanford Open Virtual Assistant Laboratory. Dr. Monica Lam obtained her BS degree in computer science from University of British Columbia, and her PhD degree in computer science from Carnegie Mellon University in 1987. She joined Stanford in 1988.

    Professor Lam's current research is on conversational virtual assistants with an emphasis on privacy protection. Her research uses deep learning to map task-oriented natural language dialogues into formal semantics, represented by a new executable programming language called ThingTalk. Her Almond virtual assistant, trained on open knowledge graphs and IoT API standards, can be easily customized to perform new tasks. She is leading an Open Virtual Assistant Initiative to create the largest, open, crowdsourced language semantics model to promote open access in all languages. Her decentralized Almond virtual assistant that supports fine-grain sharing with privacy has received Popular Science's Best of What's New Award in Security in 2019.

    Prof. Lam is also an expert in compilers for high-performance machines. Her pioneering work of affine partitioning provides a unifying theory to the field of loop transformations for parallelism and locality. Her software pipelining algorithm is used in commercial systems for instruction level parallelism. Her research team created the first, widely adopted research compiler, SUIF. She is a co-author of the classic compiler textbook, popularly known as the “dragon book”. She was on the founding team of Tensilica, now a part of Cadence.

    Dr. Lam is a Member of the National Academy of Engineering and an Association of Computing Machinery (ACM) Fellow.

  • Eric Lambin

    Eric Lambin

    George and Setsuko Ishiyama Provostial Professor and Senior Fellow at the Woods Institute for the Environment

    Current Research and Scholarly InterestsI study human-environment interactions in land systems by linking remote sensing, GIS and socio-economic data. I aim at better understanding causes and impacts of changes in tropical forests, drylands, and farming systems. I currently focus on land use transitions – i.e., the shift from deforestation (or land degradation) to reforestation (or land sparing for nature), – the influence of globalization on land use decisions, and the interactions between public and private governance of land use.

  • James Landay

    James Landay

    Denning Co-Director (Acting) of Stanford HAI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for HAI

    Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, Human-Centered AI, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.

  • Curtis Langlotz

    Curtis Langlotz

    Professor of Radiology (Thoracic Imaging), of Medicine (Biomedical Informatics Research), of Biomedical Data Science and Senior Fellow at the Stanford Institute for HAI

    Current Research and Scholarly InterestsI am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.

  • Victor R. Lee

    Victor R. Lee

    Associate Professor of Education

    Current Research and Scholarly InterestsAI literacy, data literacy, quantified self, maker education, conceptual change in science, elementary computer science education

  • 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. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is the Associate Program Director 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.

  • 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.