About me

I am a Ph.D. candidate in Political Science with a Ph.D. minor in Computational and Mathematical Engineering at Stanford University. My research develops and applies machine learning techniques to measure and characterize the structure of conflict in American political institutions. I’m particularly interested in developing new methods to measure the extent and trajectory of partisan polarization in the U.S. Congress, leveraging large-scale datasets to estimate the ideological positions of candidates for state and federal office, and applying machine learning methods to address large-scale regulatory problems.

Affiliations

RegLab @ Stanford Law School

The Democracy and Polarization Lab @ Stanford Political Science

Institute for Computational and Mathematical Engineering