I am a political scientist and data scientist. I am currently Director of Data Science at Civiqs, where I use data science and Bayesian statistics to create insights about public opinion from a large panel of respondents. 

My academic research focuses on how politicians perceive public opinion among their constituents and on the role of these perceptions in representation. In research published in the American Political Science Review, I find that American politicians consistently overestimate support for conservative policies among their constituents. These findings motivate the rest of my research agenda, in which I engage with politicians directly to learn how they perceive their districts and how these perceptions shape representation.

My methodological interests focus on the challenges associated with using survey 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 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.