Postgraduate Research Associate, Princeton University, Department of Politics
300 Fisher Hall
My research develops new formal models to study policymaking in legislatures and policy implementation by bureaucracies. In particular, I am interested in how elections influence legislative policymaking and how personnel management practices affect bureaucratic capacity. This research broadly seeks to understand the conditions under which legislatures choose policies that citizens value and the capacity of bureaucracies to implement these policies.
"Selection Rates and Bureaucratic Performance." Economics of Governance 20, no. 2 (June 2019): 159-181.
"Civil Service Reform, Self Selection, and Bureaucratic Performance." Economics & Politics 32, no. 2 (July 2020): 279-304.
"Government-Specific Human Capital and the Loyalty-Competence Trade-off in Bureaucracies," with Carolyn Barnett.
"Representation in Legislatures: Moderation's Appeal," with Gleason Judd.
An Introduction to Mathematics for Political Science is a course I co-created and teach with Brendan Cooley at Princeton University. The course introduces graduate students to the mathematical tools necessary for advanced research in formal and quantitative political science. Topics include calculus, linear algebra, real analysis, probability, set theory, and optimization. The course is designed for incoming Ph.D. students to the Princeton Politics Department. We have made our course material publicly available both as an aid for instructors of similar courses and for political scientists interested in reviewing mathematics germane to the discipline.