Institute for Human-Centered Artificial Intelligence (HAI)
Showing 41-60 of 188 Results
-
Mark Duggan
Trione Director of SIEPR, Wayne and Jodi Cooperman Professor and Senior Fellow at the Stanford Institute for Economic Policy Research
BioMark Duggan is a Professor of Economics at Stanford University and a Research Associate at the National Bureau of Economic Research. He received his B.S. and M.S. degrees in Electrical Engineering at M.I.T. in 1992 and 1994, respectively, and his Ph.D. in Economics from Harvard University in 1999. He currently is a Co-Editor at the American Economic Journal: Economic Policy and was previously a Co-Editor at the Journal of Public Economics. Before arriving to Stanford in the summer of 2014, Duggan served on the faculty at the University of Pennsylvania's Wharton School (2011-14), the University of Maryland's Economics Department (2003-11), and the University of Chicago's Economics Department (1999-2003).
Professor Duggan's research focuses primarily on the effect of government expenditure programs such as Social Security, Medicare, and Medicaid on the behavior of individuals and firms. Some of his more recent research is exploring the effect of federal disability programs on the labor market and of changes to the Medicare and Medicaid programs on the cost and quality of health care. He is also estimating the effect of patent reforms in India on the price and utilization of pharmaceutical treatments. His research has been published in leading academic journals including the American Economic Review, the Journal of Political Economy, and the Quarterly Journal of Economics and has been featured in outlets such as The Economist, the New York Times, and the Wall Street Journal.
Professor Duggan was the 2010 recipient of the ASHEcon Medal, which is awarded every two years by the American Society of Health Economists to the economist aged 40 and under in the U.S. who has made the most significant contributions to the field of health economics. Along with his co-author Fiona Scott Morton, he received the National Institute for Health Care Management's 2011 Health Care Research Award for their work on Medicare Part D. He was a Fellow of the Alfred P. Sloan Foundation from 2004 to 2006 and a Visiting Fellow at the Brookings Institution from 2006 to 2007. His research has been funded by the National Science Foundation, the National Institutes of Health, the Social Security Administration, and the Robert Wood Johnson Foundation. Duggan served from 2009 to 2010 as the Senior Economist for Health Care Policy at the White House Council of Economic Advisers and has also been an Expert Witness for the U.S. Department of Justice. -
Rob Dunbar
W.M. Keck Professor in the School of Earth Sciences, Professor of Oceans, of Earth System Science and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsOcean processes, biogeochemistry, climatology/paleoclimatology, isotopic chemistry, ocean policy
-
Jennifer Eberhardt
Morris M. Doyle Centennial Professor of Public Policy, William R. Kimball Professor at the Graduate School of Business, Professor of Psychology and by courtesy, of Law
Current Research and Scholarly InterestsMy research is on race and inequality. I am especially interested in examining race and inequality in the criminal justice context. My most recent research focuses on how the association of African Americans with crime might matter at different points in the criminal justice system and how this association can affect us in surprising ways.
-
David Freeman Engstrom
Professor of Law
BioDavid Freeman Engstrom is the LSVF Professor in Law and Co-Director of the Deborah L. Rhode Center on the Legal Profession at Stanford Law School. He is a scholar of public law, complex organizations, and political economy whose research and teaching explore problems in litigation procedure, administrative law, artificial intelligence and the law, constitutional law, civil rights, and access to courts. He is a faculty affiliate at the Stanford Institute for Human-Centered Artificial Intelligence, the Regulation, Evaluation, and Governance Lab (RegLab), and CodeX: The Stanford Center for Legal Informatics. Engstrom currently serves as the Reporter for the American Law Institute’s Principles of the Law, High-Volume Civil Adjudication. He co-founded the Filing Fairness Project, a multi-state effort to modernize court filing systems and widen access to our courts. He is an elected member of the American Law Institute, a Public Member of the Administrative Conference of the United States (ACUS), and a Fellow of the American Bar Foundation. Prior to joining the Stanford faculty, he was a litigator at a boutique D.C. law firm, where he represented clients before the U.S. Supreme Court and other courts and agencies, and clerked for Judge Diane P. Wood on the U.S. Court of Appeals for the Seventh Circuit.
-
Stefano Ermon
Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.
My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability. -
Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
On Partial Leave from 04/01/2024 To 06/30/2024BioChelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, and the William George and Ida Mary Hoover Faculty Fellow. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of machine learning and robotic control, including topics such as end-to-end learning of visual perception and robotic manipulation skills, deep reinforcement learning of general skills from autonomously collected experience, and meta-learning algorithms that can enable fast learning of new concepts and behaviors. Professor Finn received her Bachelors degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, an NSF graduate fellowship, a Facebook fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across three universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
Website: https://ai.stanford.edu/~cbfinn -
James Fishkin
Janet M. Peck Professor of International Communication, Senior Fellow at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
BioJames S. Fishkin holds the Janet M. Peck Chair in International Communication at Stanford University where he is Professor of Communication, Professor of Political Science (by courtesy) and Director of the Deliberative Democracy Lab.
He received his B.A. from Yale in 1970 and holds a Ph.D. in Political Science from Yale as well as a second Ph.D. in Philosophy from Cambridge.
He is the author of Democracy When the People Are Thinking (Oxford 2018), When the People Speak (Oxford 2009), Deliberation Day (Yale 2004 with Bruce Ackerman) and Democracy and Deliberation (Yale 1991).
He is best known for developing Deliberative Polling® – a practice of public consultation that employs random samples of the citizenry to explore how opinions would change if they were more informed. His work on deliberative democracy has stimulated more than 100 Deliberative Polls in 28 countries around the world. It has been used to help governments and policy makers make important decisions in Texas, China, Mongolia, Japan, Macau, South Korea, Bulgaria, Brazil, Uganda and other countries around the world.
He is a Fellow of the American Academy of Arts and Sciences, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in the Behavioral Sciences at Stanford, and a Visiting Fellow Commoner at Trinity College, Cambridge. -
Sean Follmer
Associate Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design
-
Michael Frank
Benjamin Scott Crocker Professor of Human Biology and Professor, by courtesy, of Linguistics
Current Research and Scholarly InterestsHow do we learn to communicate using language? I study children's language learning and how it interacts with their developing understanding of the social world. I use behavioral experiments, computational tools, and novel measurement methods like large-scale web-based studies, eye-tracking, and head-mounted cameras.
-
Takako Fujioka
Associate Professor of Music
BioResearch topics include neural oscillations for auditory perception, auditory-motor coupling, brain plasticity in development and aging, and recovery from stroke with music-supported therapy.
Her post-doctoral and research-associate work at Rotman Research Institute in Toronto was supported by awards from the Canadian Institutes of Health Research. Her research continues to explore the biological nature of human musical ability by examining brain activities with non-invasive human neurophysiological measures such as magnetoencephalography (MEG) and electroencephalography (EEG). -
Francis Fukuyama
Olivier & Nomellini Senior Fellow in International Studies at the Freeman Spogli Institute for International Studies and Professor, by courtesy, of Political Science
Current Research and Scholarly InterestsDeveloping nations; governance; international political economy; nation-building and democratization; strategic and security issues
-
Surya Ganguli
Associate Professor of Applied Physics, Senior Fellow at the Stanford Institute for HAI and Associate Professor, by courtesy, of Neurobiology and of Electrical Engineering
Current Research and Scholarly InterestsTheoretical / computational neuroscience
-
Justin Gardner
Associate Professor of Psychology
Current Research and Scholarly InterestsHow does neural activity in the human cortex create our sense of visual perception? We use a combination of functional magnetic resonance imaging, computational modeling and analysis, and psychophysical measurements to link human perception to cortical brain activity.
-
Michael Genesereth
Associate Professor of Computer Science
BioGenesereth is most known for his work on Computational Logic and applications of that work in Enterprise Management, Computational Law, and General Game Playing. He is one of the founders of Teknowledge, CommerceNet, Mergent Systems, and Symbium. Genesereth is the director of the Logic Group at Stanford and the founder and research director of CodeX - the Stanford Center for Legal Informatics.
-
Michael Gensheimer
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data.
