I am a PhD Candidate in the Department of Politics at Princeton University, a fellow with the Program for Quantitative and Analytical Political Science (Q-APS), and an affiliate of the Center for the Study of Democratic Politics (CSDP). I study American political institutions, with interests in electoral geography, legislative voting, and social policy. 

My dissertation explores how state and local politics have stepped into the vacuum created by partisan polarization, legislative gridlock, and interest group capture at the national level. The project evaluates the potential for bottom-up and top-down reform in the modern American federalist system: I examine how changes to local electoral rules have affected minority representation in California, as well as how the president can bypass national legislative channels to advance his policy agenda in the states. 

I love to teach statistical methods at all levels. I have taught entering undergraduates data visualization with R through the wonderful Freshman Scholars Institute, Princeton’s statistical programming boot camp for graduate students in the social sciences, and in my department’s PhD quantitative analysis sequence. 

I believe in putting data to work to improve public policy. Before entering academia, I worked with MDRC on randomized control trials of programs for low-income populations, focusing on reforming the way community colleges serve students requiring developmental education. I’ve also done data analysis for the Consortium on Chicago School Research, the Urban Institute’s Health Policy Center, and the ASER Centre in New Delhi.