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 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, and as a lecturer at Columbia University.

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

May 2025 Spoke at AAPOR 2025 on a number of topics related to large language models and survey methodology.
Apr 2025 Gave a webinar for NYAAPOR on generative AI and survey research with Yamil Velez (Columbia U) and Josh Lerner.
Apr 2025 Gave a conference talk for 2025 Federal Computer Assisted Survey Information Collection Workshops (FedCASIC) on AI-assisted conversational interveiwing.
Mar 2025 Our article on the media effects of deepfakes has been published in the Journal of Politics.

*Pronounced šó bɪ́k .