About Me

Hello! I'm a quantitative social scientist and data scientist.

Currently, I am a Quantitative Social Scientist at NORC at the University of Chicago, working on applied problems at the intersection of survey methodology and data science. I am also an Adjunct Assistant Professor in Political Science at Columbia University. I am trained as a political scientist with substantive expertise in media, political communication, public opinion, and elections.

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, and social science 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

Oct 2024 Co-taught an AAPOR short course on LLMs and survey research with my NORC colleague Josh Lerner (supplemental materials available here).
Sept 2024 Published a co-authored NORC report on the methodology of college rankings.
July 2024 Appointed to be Programming Chair for NYAAPOR (New York Chapter of the American Association for Public Opinion Research).
July 2024 Spoke on a panel at IC2S2 (International Computational Social Science Conference) about training computational social science PhD students for academic / non-academic careers.

*Pronounced šó bɪ́k .