Sharad's primary area of research is computational social science, an emerging discipline at the intersection of computer science, statistics, and the social sciences. He's particularly interested in applying modern computational and statistical techniques to study social and political policies, such as stop-and-frisk, swing voting, filter bubbles, do-not-track, and media bias. Before joining Stanford, Sharad was a senior researcher at Microsoft Research and Yahoo Labs.
Degrees / Education
PhD, Cornell University, Applied Mathematics (2005)
MS, Cornell University, Computer Science (2003)
BS, University of Chicago, Mathematics (1999)