300 Fisher Hall
Princeton, NJ 08544
I am currently a Ph.D. candidate in Politics at Princeton University. My dissertation, “Trade Policy in the Shadow of Power,” seeks to understand how military coercion affects the structure of the international economy – where economic activity is located and who trades with whom. In another line of research, I study exchange and violence in black markets. I am a graduate fellow affiliated with the Program in Quantitative and Analytical Political Science (Q-APS) at Princeton and teach the Politics Department’s summer math course for incoming graduate students, along with Daniel Gibbs. Before coming to Princeton I worked at the Center for Strategic and Budgetary Assessments in Washington D.C. and studied Political Science and Peace, War, & Defense at the University of North Carolina at Chapel Hill.
- Trade Policy in the Shadow of Power: Quantifying Military Coercion in the International System
Last updated 28 July 2020.
- How Wide is the Ethnic Border?
- Gunshots and Turf Wars: Inferring Gang Territories from Shooting Reports
with Noam Reich. Last updated 24 April 2020.
- Estimating Policy Barriers to Trade
Last updated 18 May 2020.
- Gunboat Diplomacy: Political Bias, Trade Policy, and War
Last updated 13 November 2019.
Works in Progress
- Prohibition, Theft, and Violence: Monopolistic Pricing and Exchange in Illicit Markets
- Market Structure, Military Coercion, and the International Politics of Oil Production
Summer 2018, Summer 2019
Co-taught with Dan Gibbs
- POL 240 / WWS 312: International Relations (Preceptor)
Professor: Andrew Moravcsik
- POL 387: International Intervention and the Use of Force (Preceptor)
Professor: Melissa Lee
- ENG 102: Introduction to Literary Analysis
Princeton Prison Teaching Initiative (PTI), Garden State Youth Correctional Facility
University of North Carolina – Chapel Hill, Carolina Students Taking Academic Responsibility Through Teaching (C-START) Program
R code to calculate distances between historical capital cities, 1816-present
R code to read, clean, and count international dyadic event data