Institute for Human-Centered Artificial Intelligence (HAI)
Showing 121-140 of 244 Results
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Rohini Kosoglu
Affiliate, Biodesign Health Tech Policy
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
Associate Professor of Genetics and of Computer Science
Current Research and Scholarly InterestsWe develop statistical and machine learning frameworks to model gene regulation and decipher the genetic and molecular basis of disease
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Monica Lam
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering, Professor of Computer Science and, by courtesy, of Electrical Engineering
BioProfessor Lam's current research interest is to create effective and reliable AI assistants to accelerate the discovery of knowledge. Her OVAL lab has created numerous open-source LLM-based tools used by consumers, historians, and journalists in their work; currently, she is focusing on research assistants that can discover new insights for biomedicine and other technical areas.
Professor Lam's team has created the first quantifiably factual and engaging conversational agent, which has won the Best Research of the Year Award from Wikimedia Foundation; pioneered deep research agent called STORM that has been used by about a million users; developed the best-performing agent for retrieving knowledge from hybrid sources, including databases, knowledge graphs, and free-text, currently deployed at Wikimedia; created an agent framework that produces fluent task-oriented agents that do not hallucinate.
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
George and Setsuko Ishiyama Provostial Professor and Senior Fellow at the Woods Institute for the Environment
On Leave from 09/01/2024 To 08/31/2026Current 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.
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James Landay
Denning Co-Director of Stanford Institute for Human-Centered AI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
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.
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Curtis Langlotz
Senior Associate Vice Provost for Research, Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine, of Biomedical Data Science and Senior Fellow at the Stanford Institute for Human-Centered AI
Current Research and Scholarly InterestsMy laboratory develops machine learning methods to help physicians detect disease and eliminate diagnostic errors. My laboratory is developing neural network systems that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report for contrastive learning and other multi-modal methods that improve the accuracy and capability of machine learning systems.
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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
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Mark Lemley
William Neukom Professor of Law and Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly Interestsintellectual property, Internet, and antitrust law; law and AI/robotics
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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
Professor of Political Science and Senior Fellow at the Freeman Spogli Institute for International Studies, Emerita
BioMargaret Levi is Emerita Professor of Political Science, Senior Fellow, Center on Democracy, Development and the Rule of Law, Freeman Spogli Institute for International Studies, and Visiting Professor, London School of Economics. She is the former Sara Miller McCune Director and current Faculty Fellow of the Center for Advanced Study in the Behavioral Sciences (CASBS); co-director of the Ethics and Society Review, Stanford University; and the 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. -
Fei-Fei Li
Sequoia Capital Professor, Denning Co-Director (On Leave) Stanford Institute for Human-Centered AI, Senior Fellow at HAI and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
On Partial Leave from 01/01/2024 To 08/31/2027Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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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 also the founding Medical Director for Stanford Health Care at Home and 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
Professor of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. 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), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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C. Karen Liu
Professor of Computer Science
On Partial Leave from 01/01/2026 To 06/30/2026BioC. 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.
