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
- Nov 2024 Published an article in Publius: The Journalism of Federalism on the intersection of computational social science and local politics.
- Oct 2024 Published a NORC research brief on a study of how large language models can augment survey interviews.
- 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).
*Pronounced šó bɪ́k .