I am interested in introducing students to the scientific study of politics, not just graduate students, but especially undergraduates who may be new to social science and/or quantitative research. In 2026, I will be teaching an original course for Junior undergraduates at Brown. Click here for the syllabus.
Game Theory and Politics - Spring 2026, Brown University
This course, intended for upper-division undergraduate students, offers an introduction to the tools of rational choice and game theory for analyzing politics. In addition to basic mathematical analysis of these models, we will develop a conceptual understanding of rationality and strategic behavior and apply these concepts to real-world political behavior and institutions. We will draw on examples from American politics, including electoral competition, Congress, and the bureaucracy. Although the course is primarily lecture based, participation in structured games and strategic interactions during class will allow students to apply the theoretical frameworks discussed in the course firsthand. We will conclude with a discussion of the strengths and limitations of rational choice and game theory to explain political behavior, especially through the lens of experimental studies.
I have also served as a teaching assistant for several undergraduate and graduate courses, and taught a course for new political science graduate students giving an introduction to R . See below for a link to that syllabus.
Undergraduate Courses - University of Rochester
Teaching Assistant, PSC 247: Green Markets (Prof. Lawrence Rothenberg) Fall 2024
Teaching Assistant, PSC 243: Environmental Politics (Prof. Lawrence Rothenberg) Fall 2023
Teaching Assistant, PSC 105: Intro to US Politics (Prof. Dan Alexander) Fall 2021
Graduate Courses - University of Rochester
Instructor, Intro to R (PSC 404 Recitation) (Original Course - Syllabus Here) Fall 2022
Teaching Assistant, PSC 404: Probability and Inference (Prof. Kevin Clarke) Fall 2022
Teaching Assistant, PSC 405: Causal Inference (Prof. Anderson Frey) Spring 2022 & 2023
Lab sessions on applied R (code by Frey) - Regression, Bootstrap, Randomization Inference, Instrumental
Variables, Regression Discontinuity, Diff-in-Diff, Text Data, Panel Data, Multiple Outcomes
Undergraduate Courses - University of Rhode Island
Teaching Assistant, PSC 310: Intro to Political Science Research (Prof. Ping Xu) Fall 2018