Institute for Human-Centered Artificial Intelligence (HAI)
Showing 81-90 of 242 Results
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David Grusky
Edward Ames Edmonds Professor of Economics and Senior Fellow at the Stanford Institute for Economic Policy Research
BioDavid B. Grusky is Barbara Kimball Browning Professor in the School of Humanities and Sciences, Director of the Stanford Center on Poverty and Inequality, and coeditor of Pathways Magazine. His research addresses the changing structure of late-industrial inequality and addresses such topics as (a) the role of rent-seeking and market failure in explaining the takeoff in income inequality, (b) the amount of economic and social mobility in the U.S. and other high-inequality countries (with a particular focus on the “Great Gatsby” hypothesis that opportunities for social mobility are declining), (c) the role of essentialism in explaining the persistence of extreme gender inequality, (d) the forces behind recent changes in the amount of face-to-face and online cross-class contact, and (e) the putative decline of big social classes. He is also involved in projects to improve the country’s infrastructure for monitoring poverty, inequality, and mobility by exploiting administrative and other forms of “big data” more aggressively. His recent books include Social Stratification (2014), Occupy the Future (2013), The New Gilded Age (2012), The Great Recession (2011), The Inequality Reader (2011), and The Inequality Puzzle (2010).
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Carlos Ernesto Guestrin
Fortinet Founders Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
BioCarlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi.
Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA. -
Leonidas Guibas
Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.
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Hyowon Gweon
Associate Professor of Psychology
BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.
Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. Honors and awards include: Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019) from Stanford; CDS Steve Reznick Early Career Award (2022), APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010). -
Jens Hainmueller
Kimberly Glenn Professor and Professor of Political Science
BioJens Hainmueller is the Kimberly Glenn Professor of Political Science and Director of Graduate Studies in Stanford University’s Department of Political Science. He co-directs the Stanford Immigration Policy Lab and is a Faculty Affiliate at the Stanford Center for Causal Science, the Institute for Human-Centered Artificial Intelligence, and the Europe Center. He is also a member of the Maternal & Child Health Research Institute at Stanford’s School of Medicine.
Hainmueller’s research spans statistical methods, causal inference, immigration, and political economy, and he has published nearly 70 articles with over 40,000 citations. Many of his works appear in top journals, including Science, Nature, and PNAS, as well as leading field journals in political science, statistics, economics, and business.
He has developed widely adopted statistical methods—such as synthetic control methods, entropy balancing, Average Marginal Component Effects, and GeoMatch algorithms—and created several open-source software packages that support empirical research across disciplines. At Stanford, he teaches courses on causal inference and data science.
Hainmueller’s contributions have earned him prestigious awards, including the Gosnell Prize for Excellence in Political Methodology, the Warren Miller Prize, the Robert H. Durr Award, and the Emerging Scholar Award from the Society of Political Methodology. He is an Andrew Carnegie Fellow, an elected Fellow of the Society of Political Methodology, and holds an honorary degree from the European University Institute (EUI).
He earned his PhD from Harvard University, with additional studies at the London School of Economics, Brown University, and the University of Tuebingen. Before joining Stanford, he was a faculty member at the Massachusetts Institute of Technology (MIT).
For a full list of his publications, please refer to his Google Scholar Citation Page and CV. -
Eric Hanushek
Paul and Jean Hanna Senior Fellow at the Hoover Institution and Professor, by courtesy, of Education
BioEric Hanushek is the Paul and Jean Hanna Senior Fellow at the Hoover Institution of Stanford University and one of the world’s leading scholars in the economics of education. His influential research has shaped education policy globally, with widely cited studies on teacher effectiveness, school accountability, class size, and the economic returns to educational quality. In 2021, he received the Yidan Prize for Education Research, the field’s most prestigious international award. With the prize money he founded the Africa Fellows in Education Program, a capacity-building program focused on improving education policy in Sub-Saharan Africa. He has authored or edited 26 books and more than 300 articles, and he serves as a research associate at the National Bureau of Economic Research and the area coordinator for Economics of Education of the CESifo Research Network. He is a fellow of both the Society of Labor Economists and the American Educational Research Association. He previously held academic appointments at the University of Rochester, Yale University, and the U.S. Air Force Academy. His public service includes roles as a commissioner on the U.S. Department of Education’s Equity and Excellence Commission, chair of the National Board for Education Sciences (2008–2010), Deputy Director of the Congressional Budget Office (1983–1985), and member of the National Assessment Governing Board (2019–2023). A member of the National Academy of Education and the International Academy of Education, he earned his Ph.D. in economics from the Massachusetts Institute of Technology after graduating as a Distinguished Graduate of the U.S. Air Force Academy. https://hanushek.stanford.edu/
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Gabriella M. Harari
Assistant Professor of Communication
BioGabriella Harari is an Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab.
She studies how personality is expressed in the physical and digital contexts of everyday life. Much of her research is focused on understanding what digital technologies reveal about who we are, and how use of digital technologies shapes who we are. Her current projects analyze people’s everyday behavioral patterns (e.g., social interactions, mobility) and environmental contexts (e.g., places visited, social media platforms) to show how they are associated with individual differences in personality and well-being.
Harari takes an ecological approach to conducting her research, emphasizing the importance of studying people and their behavior in natural contexts. To that end, she conducts intensive longitudinal field studies and is interested in mobile sensing methods and analytic techniques that combine approaches from the social and computer sciences. For example, methodologies she uses in her work in include surveys, experience sampling, longitudinal modeling, mobile sensing, data mining, and machine learning.
Harari completed a Postdoctoral Fellowship and earned her PhD at the Department of Psychology at The University of Texas at Austin. She completed her BA in Psychology & Humanities from Florida International University, where she was also a Ronald E. McNair Scholar. Her work has been published in academic outlets such as Perspectives in Psychological Science, Journal of Personality and Social Psychology, and the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Her work has also been supported by the National Science Foundation and Stanford HAI Seed Grant Awards. -
Brian Hie
Assistant Professor of Chemical Engineering
BioI am an Assistant Professor of Chemical Engineering at Stanford University, the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, and an Innovation Investigator at Arc Institute. I supervise the Laboratory of Evolutionary Design, where we conduct research at the intersection of biology and machine learning.
I was previously a Stanford Science Fellow in the Stanford University School of Medicine and a Visiting Researcher at Meta AI. I completed my Ph.D. at MIT CSAIL and was an undergraduate at Stanford University.
