About Me
Hello! I'm a computational social scientist.
Currently, I am a Senior Research Methodologist at NORC at the University of Chicago. I'm also an Adjunct Associate Professor of Political Science at Columbia University.
At NORC I specialize in applications of computational social science to public policy domains such as public health, higher education, online trust & safety, religion, and U.S. politics.
I also lead the methodological implementation of several initiatives at the intersection of AI and survey research.
My work has been featured in The New York Times, The Los Angeles Times, The Atlantic, and Scientific American.
I hold a Ph.D. in Political Science and an A.M. in Statistics from Harvard and a B.S. in Computer Science and Mathematics from Tufts.
Previously, I've worked in research and data science roles at SurveyMonkey
and Microsoft Research.
I write about politics, data, social science, and AI for a Substack newsletter called Somewhat Unlikely.
I'm currently based in NYC. If you're in the area, let's grab coffee some time.
Recent News
- May 2026 Our APSA Task Force report on public opinion science and AI has been published.
- May 2026 Our AAPOR Task Force report on responsible AI integration in survey research has been published.
- Apr 2026 Spoke at Stanford's Political Psychology Research Group.
- Apr 2026 Spoke at NYU Center for Social Media, AI and Politics (CSMAP).
*Pronounced šó bɪ́k .