Developed an AI-powered platform for teaching and learning (PingPong); deployed a “blind charging” platform across California to mitigate racial bias in prosecutorial decisions; collected and analyzed data on over 100 million traffic stops as part of the Open Policing Project; published articles in The New York Times, Boston Globe, Washington Post, and other media on topics such as algorithmic fairness, policing, mass incarceration, election polls, voter fraud, college admissions, and AI in education.
Research Experience
Worked as a research scientist at Yahoo and Microsoft; faculty member at Stanford with appointments in management science & engineering, computer science, sociology, and the law school; currently a professor at Harvard Kennedy School and co-founder of the Computational Policy Lab.
Education
Bachelor's degree in mathematics from the University of Chicago; Ph.D. in applied math and M.S. in computer science from Cornell. Completed postdoctoral fellowships in the math departments at Stanford and the University of Southern California.
Background
Professor of Public Policy at Harvard Kennedy School, looking at public policy through the lens of computer science, with a particular interest in the use (and misuse) of AI for education, empirical tests for discrimination, design of equitable algorithms, access to education, and democratic governance.
Miscellany
Office located at the Shorenstein Center on Media, Politics and Public Policy, 124 Mt. Auburn St., Room 2310.