I am a political scientist and data scientist. I am currently a research scientist at Meta, based in New York City. Previously I was Director of Data Science at Civiqs, where I used data science and Bayesian statistics to create insights about public opinion from a large panel of survey respondents. 

My academic research focuses on how politicians perceive public opinion among their constituents. In research published in the American Political Science Review and the British Journal of Political Science, I find that American politicians and party leaders overestimate support for conservative policies among their constituents. 

My methodological interests focus on the challenges associated with using surveys and voter file data to research representation and political behavior and more broadly in methods for causal inference in big data sources. I am interested in a variety of research questions related to applications of voter file data.

Before joining Civiqs, I was a data science postdoctoral scholar at the Institute for Policy Research and the Institute on Complex Systems at Northwestern University. I continue to be an external faculty affiliate at the Northwestern Institute on Complex Systems. I received my Ph.D. in political science from the University of Michigan in 2017.

I have a B.A. in political science and a B.A. in English from The Ohio State University. I also studied art history at Ohio State and trained as a docent at the Wexner Center for the Arts.