Hi there!

I recently started as a Faculty Fellow at NYU’s Center for Data Science as well as began a two-year NSF SBE Postdoctoral Research Fellowship. This past spring I received my PhD in Political Science with an emphasis in computational social sciences from the University of California – Davis. My research focuses on local institutions and machine learning. Specifically, I am interested in developing new tools for measuring the policy-making activities and outcomes of city councils. Additionally, I study the effects of electoral institutions such as Ranked Choice Voting on representation and candidate entry.

I graduated from the University of Chicago in 2017 with a B.A. in Political Science. Prior to starting graduate school in 2019, I worked as a research assistant at Westat carrying out program evaluations for federal programs.

In my free time I enjoy traveling, playing tennis, riding my motorcycle, going on long walks with my dog, and watching soccer (or bad TV).