University of California, San Diego
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Instructor, POLI 279 Design and Analysis of Randomized Experiments, Winter 2026
A PhD course on designing and analyzing randomized experiments, covering randomization inference, blocking, regression adjustment, power analysis, heterogeneous treatment effects, and interference.
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Instructor, POLI 179 Data Science and Causal Inference, Winter 2026
An upper-division undergraduate course on causal inference for social science, covering randomized experiments, instrumental variables, regression discontinuity, and difference-in-differences with hands-on lab assignments.
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Instructor, POLI 279 Observational Studies for Social Science, Fall 2025
A PhD course on causal inference with observational data, covering identification strategies, instrumental variables, regression discontinuity, difference-in-differences, and synthetic control methods.
Harvard University
I have taught classes on political methodology, causal inference, and programming at the undergraduate and PhD level. I received the Bok Center Distinction in Teaching for the methods teaching, and the Gov Department Peer Mentorship Award.
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Teaching Fellow, Stat 186 / Gov 2002 Causal Inference, Fall 2019 (Prof. Kosuke Imai)
A graduate level course on causal inference. This is the third course in the Government Department's method training sequence.
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Teaching Fellow, Gov 2003 Topics in Quantitative Methodology, Spring 2020 (Prof. Kosuke Imai and Prof. Santiago Olivella)
An introductory course on applied Bayesian statistics for social science. This is the fourth course in the Government Department's method training sequence.
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Teaching Fellow, Gov 51 Data Analysis and Politics, Fall 2020 (Prof. Matthew Blackwell)
[course syllabus] [student evaluations] [student evaluations (extension school)]
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Teaching Fellow, DPI 610 / Gov 1003 Data Science for Politics, Spring 2021 (Prof. Benjamin Schneer)
University of Tokyo
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Teaching Assistant, Causal Inference, Summer 2019 (Prof. Kosuke Imai)
Princeton University
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Preceptor, POL 245 Visualizing Data, Summer 2017 (Instructor: Will Lowe)
This is the first course in R and basic statistics for incoming freshmen at Princeton. It is one of the classes offered for Freshman Scholars Institute.