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.

Academic Appointments

  • Assistant Professor, Management Science and Engineering
  • Assistant Professor (By courtesy), Sociology
  • Assistant Professor (By courtesy), Computer Science
  • Assistant Professor (By courtesy), Stanford Law School

Program Affiliations

  • Public Policy
  • Symbolic Systems Program

Professional Education

  • PhD, Cornell University, Applied Mathematics (2005)
  • MS, Cornell University, Computer Science (2003)
  • BS, University of Chicago, Mathematics (1999)

2020-21 Courses

Stanford Advisees