I am an experienced teacher, having taught BA, MA, and PhD-level courses in comparative politics, political behavior, and public opinion. I have also served as a teaching assistant for courses on international relations, research design, and statistics. See below for an overview of courses that I have taught.

Comparative Political Behavior, Stony Brook University

Lead Instructor (1x): Fall 2023

The goal of PhD-level course is to familiarize students with political behavior as a topic of inquiry, with a focus on regions beyond the United States. The course focuses on two main outcomes. The first half of the course addresses research on drivers of political participation, including both formal political participation (voter turnout) and informal political participation (participation in protests and political violence). The second half of the course addresses the substance of political participation, with a focus on different scholarly approaches to studying vote choice. Readings draw on all world regions and delve into democratic, non-democratic, and hybrid contexts. Assignments and class sessions are designed to help graduate students understand key theoretical debates, gain exposure to cutting-edge research, and develop their own research agenda.

Dynamics of Public Opinion, Stony Brook University

Lead Instructor (1x): Spring 2023

This MA-level course provides an overview of the literature on public opinion. The course starts by considering the micro-foundations of opinions and the psychology of opinion holding. How much do people know about politics and other aspects of the social world? What are the consequences of differences in knowledge and attitude strength? Building from there, the course covers the structure of attitudes and opinions, specifically, the nature of political ideology. A number of determinants of opinions are also covered including values and personality, group membership, context, and socialization. Finally, the course examines the dynamics of attitudes and opinions and their relationship to government policy and larger social trends.

Introduction to Comparative Politics, Stony Brook University & UNC-Chapel Hill

Lead Instructor (5x): Fall 2018, Fall 2019, Spring 2020, Fall 2020 & Fall 2022, Spring 2024

Teaching Assistant (2x): for Rahsaan Maxwell (Spring 2017) and Andrew Reynolds (Fall 2016)

This undergraduate course introduces the important themes of Comparative Politics to undergraduate students. It is designed to familiarize students with the core themes and theories relevant to the study of politics around the world. The course also touches upon a few contemporary themes in comparative politics research. As instructor, I structure the course around developing writing skills for social science and regular student-led discussions. Please feel free to reach out about a recent syllabus. I have taught multiple versions of this course, including for medium sized (20-50) and large classes (100+).

Introduction to International Relations, UNC-Chapel Hill

Teaching Assistant (2x): for Navin Bapat (Fall 2017 & Spring 2021)

This undergraduate course introduces undergraduate students to some of the most important topics and puzzles in the study of international relations, as well as analytic concepts that can be used to study world politics.

Statistical Models, MA in Comparative and International Studies (MACIS) at ETH-Zürich

Teaching Assistant (2x): for Dominik Hangartner & Moritz Marbach (Spring 2018 & Spring 2019)

This MA-level course provides a graduate-level introduction to statistical methods for modeling and prediction, including theoretical underpinning and practical applications. Topics include linear regression, classification, resampling, shrinkage, trees, support vector machines, and clustering.

Causal Inference, MA in Comparative and International Studies (MACIS) at ETH-Zürich

Teaching Assistant (2x): for Dominik Hangartner & Dalston Ward (Spring 2018 & Spring 2019)

This MA-level course provides a graduate-level introduction to statistical methods used for causal inference, with an emphasis on the potential outcomes framework. Designs and methods related to observational and experimental data are covered, including randomization, matching, difference-in-differences, regression discontinuity, instrumental variables, and synthetic control methods.