Matthew Gentzkow is a Professor of Economics at Stanford University. He studies applied microeconomics with a focus on media industries. He received the 2014 John Bates Clark Medal, given by the American Economic Association to the American economist under the age of forty who has made the most significant contribution to economic thought and knowledge. He is a fellow of the American Academy of Arts and Sciences and the Econometric Society, a senior fellow at the Stanford Institute for Economic Policy Research, and a former co-editor of American Economic Journal: Applied Economics. Other awards include the 2016 Calvó-Armengol International Prize, the Alfred P. Sloan Research Fellowship, grants from the National Science Foundation, National Institutes for Health, and Sloan Foundation, and a Faculty Excellence Award for teaching. He studied at Harvard University where he earned a bachelor’s degree in 1997, a master’s degree in 2002, and a Ph.D. in 2004.
Gopi is also a faculty research fellow at the National Bureau of Economic Research, and a fellow of the Society of Actuaries. As the institute’s deputy director, Gopi works closely with the director in developing and articulating the institute’s strategic priorities while overseeing its academic programs and its operations.
Ramesh Johari 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.
Her research focuses on the intersection of technology strategy and organizational learning by using machine learning, statistical analysis, and mixed methods. She is an expert on innovation, competition, and entrepreneurship in large firms. Her current research centers on responsible and inclusive innovation initiatives.
Brad Larsen joined the Department of Economics at Stanford University in 2014. Prior to this, he obtained a BA in Economics and BS in Mathematics from Brigham Young University and a PhD in Economics from MIT, and spent one year as postdoctoral researcher at eBay Research. He is also a Faculty Research Fellow at the National Bureau of Economic Research and a Faculty Fellow at the Stanford Institute for Economic Policy Research. He is currently a W. Glenn Campbell and Rita Ricardo-Campbell National Fellow at the Hoover Institution.
His primary area of research is Industrial Organization, with specific emphasis on bargaining and occupational licensing. His recent research projects study large datasets of alternating-offer-negotiation settings to analyze behavioral patterns and efficiency in bargaining. He also studies the effects of occupational licensing regulations on market outcomes such as prices, competition, and the distribution of service quality. Other recent projects study auctions, consumer search, digital copyright law and grey-market activity, changes in US wage inequality due to increased import competition with China, the effects of laws legitimizing arbitrage (parallel importation) across international markets, and applied econometric methods.
Danial Lashkari holds the chair of White Family Assistant Professor of economics and international studies at Boston College, and is currently based at the Stanford Institute for Economic Policy Research (SIEPR) as a visiting assistant professor (2021-2022).
He completed his PhD degree at the Harvard economics department in 2017 and was a Cowles Foundation postdoctoral associate at the Yale University department of economics (2017-2018). His research interests are at the intersection of economic growth, innovation, and international trade.
Prior to Harvard, he obtained a PhD degree at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where he worked on a number of applications of machine learning techniques in neuroimaging and cognitive neuroscience. He received MSc and BSc degrees from the University of Tehran, Iran.
She served as the Director of Stanford’s AI Lab from 2013 to 2018.
During her sabbatical from Stanford from January 2017 to September 2018, Fei-Fei was vice president at Google and served as chief scientist of AI/ML at Google Cloud.
Fei-Fei’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision, and AI+healthcare—particularly ambient intelligent systems for healthcare delivery. Her past research focused on cognitive and computational neuroscience.
She is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. She is a national leading voice for advocating diversity in STEM and AI, and is co-founder and chairperson of the national non-profit AI4ALL, which aims to increase inclusion and diversity in AI education.
Fei-Fei has published more than 200 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, and Nature Digital Medicine.
Fei-Fei received her B.A. degree in physics from Princeton in 1999 with high honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).
HAI co-director Fei-Fei Li talks with Rhode Island Governor Gina Raimondo at the AI & The Future of Work Conference, October 2020.
He previously held a faculty position in the department of Political Science at Emory University. His research focuses on political marketplaces, including the market for political news, the political media consulting industry, and the allocation of grant funding by legislatures. Gregory earned his Ph.D. in political economics at Stanford GSB and an SB in economics from the Massachusetts Institute of Technology.
In 2020, Paul was named a Distinguished Fellow of the American Economic Association. According to the Distinguished Fellow citation, he “is the world’s leading auction designer, having helped design many of the auctions for radio spectrum conducted around the world in the last thirty years, including those conducted by the U.S. Federal Communications Commission (ranging from the original simultaneous multiple round auction with activity rules, to the recent incentive auction for repurposing broadcast spectrum for modern uses). His applied work in auction design and consulting has established new ways for economists to interact with the wider world. He is also a theorist of extraordinary breadth, who has provided (and still continues to provide) foundational insights not only into the theory of auctions (including his 1982 paper with Weber), but across the range of modern microeconomic theory.”
Continuing, the citation notes that “His work has been widely recognized. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences. He has received major prizes, including the 2008 Nemmers Prize, the 2012 BBVA Foundation Frontiers of Knowledge Award, the 2014 Golden Goose Award (with McAfee and Wilson), the 2018 CME Group-MSRI Prize in Innovative Quantitative Applications, and the 2018 John J. Carty Award for the Advancement of Science (with Kreps and Wilson). He is the dissertation advisor of many successful economists.”
Harikesh’s research is in marketing analytics and computational social science. His research brings together social science theory, statistical tools, and marketing data to better understand consumer behavior and to improve the strategic marketing decisions of firms. This work speaks to the challenges and opportunities firms face as they transition to a world where marketing becomes a data-oriented, algorithmically-driven business function.
