Ph.D. Candidate, Department of Politics, Princeton University
300 Fisher Hall
My primary research interest is applied game theory with an emphasis on dynamic games of incomplete information. Substantively my research focuses on formal models of political agency and bureaucratic organization. This research broadly seeks to understand the mechanisms through which citizens hold bureaucrats and politicians accountable in democracies.
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.