Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-15 of 15 Results
Professor of Computer Science, & by courtesy, of Electrical EngineeringOn Partial Leave from 01/01/2022 To 06/30/2022
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.
George and Setsuko Ishiyama Provostial Professor and Senior Fellow at the Woods Institute for the EnvironmentOn Leave from 04/01/2022 To 06/30/2022
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.
Anand Rajaraman and Venky Harinarayan Professor
Current Research and Scholarly InterestsLanday's current research interests include Technology to Support Behavior Change (especially for health and sustainability), Crowdsourcing, Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, and User Interface Design Tools. He has developed tools, techniques, and a top professional book on Web Interface Design.
Dr. Landay is the founder and co-director of the World Lab, a joint research and educational effort with Tsinghua University in Beijing.
Professor of Radiology (Thoracic Imaging) and of Biomedical Informatics Research
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.
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
Associate Professor of Computer Science
BioLeskovec's research focuses on the analyzing and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. He focuses on statistical modeling of network structure, network evolution, and spread of information, influence and viruses over networks. Problems he investigates are motivated by large scale data, the Web and other on-line media. He also does work on text mining and applications of machine learning.
Sara Miller McCune Director for CASBS, Professor of Political Science and Senior Fellow at the Woods Institute for the Environment
BioMargaret Levi is the Sara Miller McCune Director of the Center for Advanced Study in the Behavioral Sciences (CASBS), Professor of Political Science, and Senior Fellow of the Woods Institute, 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, 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. She became a fellow of the National Academy of Sciences in 2015, the American Academy of Arts and Sciences in 2001, and 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); and Cooperation Without Trust? (Russell Sage, 2005). One of her most recent books, In the Interest of Others (Princeton, 2013), co-authored with John Ahlquist, explores how organizations provoke member willingness to act beyond material interest. In other work, she investigates the conditions under which people come to believe their governments are legitimate and the consequences of those beliefs for compliance, consent, and the rule of law. Her research continues to focus on how to improve the quality of government and how to generate a better political economic framework. She is also committed to understanding and improving supply chains so that the goods we consume are produced in a manner that sustains both the workers and the environment.
She was general editor of Cambridge Studies in Comparative Politics and remains on the editorial board. 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. She is chair of Section 53 of NAS. 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 catalogue.
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, 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.
Sequoia Capital Professor, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
Clinical Assistant Professor, Medicine
BioRon Li is a Clinical Assistant 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. He is also the Head of Content and Education for the Stanford Center for Digital Health, where he is the Director of the Digital Health Fellowship and leads the creation and dissemination of content and educational programs in digital health for Stanford Medicine.
Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. Ron's work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. He has consulted for various companies in the digital health and artificial intelligence space and is leading work in AI and user experience research in partnership with Google. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is a core faculty for the Stanford Clinical Informatics Fellowship.
Associate Professor of Computer Science and, 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
Associate Professor of Computer Science
BioC. Karen Liu is an associate 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.