Teaching
Pedagogical Training
Kaufman Teaching Certificate Program (KTCP)
Massachusetts Institute of Technology
Fall 2024
Description
I successfully completed a 10-workshop series focused on core teaching skills, including syllabus development, course design, lesson planning, student assessment and feedback, and fostering an effective and inclusive classroom environment. Two of the workshops were microteaching sessions, during which I delivered sample lessons on survey methodology in political science and received detailed feedback from peers and an experienced teaching mentor. As part of this program, I developed a course syllabus on public opinion and survey methodology, which I am happy to provide upon request.
Teaching Assistant
17.279: Political Misinformation in the Age of Social Media
Massachusetts Institute of Technology
Spring 2025 · Professor: Adam J. Berinsky
Description
“Why are false and unsupported beliefs about politics and public policy so prevalent and hard to address? What role does social media play in the spread of misinformation? And what role should it play? This course explored the psychological factors that make people vulnerable to misperceptions and conspiracy theories and the reasons that attempts to counter false and extreme beliefs so often fail to reduce the prevalence of these phenomena. We paid especially close attention to the role of social media, and the internet more generally. We analyzed how the dynamics of misinformation and extreme beliefs are exploited by political elites and considered possible approaches that journalists, civic reformers, government officials, and technology platforms could employ to combat misperceptions. Students developed substantive expertise in how to measure, diagnose, and respond to false beliefs about politics and public policy; methodological expertise in reading and analyzing quantitative and experimental research in social science; and writing skills in preparing a final research paper analyzing the development of a specific misperception or conspiracy theory.”
Summary of Tasks
I led and designed weekly, hour-long recitation sections that incorporated brief lectures, interactive activities, and guided discussions. These sessions provided students with opportunities to review course material, apply key concepts, engage with assigned readings, and clarify assignments and expectations. Recitation slides are available upon request. I also graded all written assessments and delivered a guest lecture on labeling AI-generated material online (slides available upon request).
Mean overall evaluation from the students: 6.7/7.0
17.263: Electoral Politics, Public Opinion, and Democracy
Massachusetts Institute of Technology
Fall 2024 · Professor: Charles Stewart III
Description
The purpose of this class was to examine the conduct of elections in the United States, with special attention to watching how the 2024 election evolved. “Considers the role of elections in American politics. Issues explored include empirical and theoretical models of electoral competition, the effect of elections on public policy, and proposals to improve elections. Special emphasis is given to mass voting behavior, political parties, the media, and campaign finance. Subject focuses on US elections, but provides some contrasts with other countries, especially the United Kingdom.”
Summary of Tasks
I drafted reading quizzes for each lecture, graded all written and oral evaluations, held office hours to support students with course material and assessments, and taught two lectures on public opinion (slides available upon request).
Mean overall evaluation from the students: 6.8/7.0
Instructor
Introduction to Causal Inference, Pathways to Political Science Workshop
Massachusetts Institute of Technology
Summer 2025
Description
I led a workshop introducing undergraduate and master’s students in the Pathways to Political Science program at MIT to causal inference. The workshop provided an overview of counterfactual reasoning, the potential outcomes framework, experimental design, matching methods, regression analysis, instrumental variables, regression discontinuity designs, and difference-in-differences.
Introduction to Remote Resources, Political Methodology Lab Workshop
Massachusetts Institute of Technology · Co-instructor with Mason Reece
Spring 2025
Description
Alongside Mason Reece, I led a workshop for MIT Political Science PhD students as part of the Political Methodology Lab workshop series. The session introduced students to the Lab’s high-performance computing system (XVII) and MIT Supercloud, an HPC-style shared computing cluster. We covered best practices for using these resources and provided Linux commands to help students begin working effectively on the Supercloud. Our slides can be accessed here.
Grading
17.271: Mass Incarceration in the United States
Massachusetts Institute of Technology
Fall 2025 · Professor: Ariel White
POL3140: Political Psychology
Université de Montréal
Spring 2021 · Professor: Patrick Fournier
POL1803: Introduction to Quantitative Methodology
Université de Montréal
Fall 2020 · Professor: Patrick Fournier