Political Science 4461: Latin American Politics, Fall 2020 (undergraduate/graduate).
Instructor: Vicky Murillo.
Teaching evaluation: 4.96/5.00, n = 25. [Evaluations]
Political Science 3565: Drugs and Politics in the Americas, Spring 2020 (undergraduate).
Instructor: Eduardo Moncada.
No evaluations due to COVID-19.
Political Science 1501: Introduction to Comparative Politics, Fall 2019 (undergraduate).
Instructor: Kimuli Kasara.
Teaching evaluation: 5.00/5.00, n = 14. [Evaluations]
Quantitative Methods
Statistics 5293: Advanced Statistical Modeling for Social Science, Spring 2024 (graduate).
Instructor: Andrew Gelman.
Teaching evaluation: 5.00/5.00, n = 10. [Evaluations]
Topics: Bayesian data analysis and Stan, multilevel regression, item-response and ideal point models, measurement error models, models for causal inference, and other advanced topics. [Interactive application for Homework 12A]
Political Science 3720: Research Design (Scope and Methods), Fall 2023 (undergraduate).
Instructor: Dan Corstange.
Teaching evaluation: 4.94/5.00, n = 32. [Evaluations]
Political Science 4726: Quantitative Methods IV - Topics in Political Methodology, Spring 2022 (graduate).
Instructor: Naoki Egami.
Teaching evaluation: 4.83/5.00, n = 6. [Evaluations]
Topics: machine learning (regularized regression, tree-based methods, double machine learning for causal inference), measurement methods (ideal point estimation, text analysis, unsupervised machine learning), external validity and meta-analysis, and causal inference with network and spatial data. [Sample lecture]
Political Science 3768: Experimental Research, Fall 2021 (undergraduate).
Instructor: Yamil Velez.
Teaching evaluation: 4.94/5.00, n = 34. [Evaluations]
Political Science 4722: Quantitative Methods II - Statistical Theory and Causal Inference, Spring 2021 (graduate).
Instructor: Naoki Egami.
Teaching evaluation: 4.96/5.00, n = 26. [Evaluations]
Topics: randomized experiments, estimation under ignorability, directed acyclic graphs, instrumental variables, regression discontinuity, difference-in-differences, and causal inference with panel data, as well as statistical theory essential for causal inference. [Sample lecture]
Political Science 3720: Research Design (Scope and Methods), Summer 2020 and Summer 2021 (undergraduate).
Instructor: Michael Miller.
Teaching evaluation: 4.83/5.00, n = 6. [Evaluations]
Sample Syllabi
Introduction to Comparative Politics (undergraduate).
Teaching assistant for introductory math camp for incoming Political Science PhD and masters students, August 2022 and 2023. Instructor: Benjamin Goodrich.
Introduction to R presented for incoming Columbia Political Science PhD and masters students, on August 27th, 2019. I made the presentation with learnr, so it also functions as an online tutorial, which you can find here.
Introduction to regular expressions in R presented at the Columbia Political Science Graduate Student Methods Workshop on March 1st, 2019. The repository can be found here, and you can find the presentation here.