I have previously taught Ph.D-level and undergraduate level classes in methodology and comparative politics at NYU.
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Quantitative Political Analysis II (POL-GA 1251)
Date: 2021 Spring
Institution: Department of Politics, NYU
Role: Teaching Assistant for Professor Cyrus Samii
Description: This is the 2nd course in NYU quant sequence. This course provides a current perspective on identifying and estimating causal effects in social science research. We focus on non-parametric identification methods and then non-parametric and semi-parametric estimation and frequentist inference methods. We will emphasize research design and robust estimation and inference.
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Introduction to Comparative Politics (POL-UA 500)
Date: 2020 Spring
Institution: Department of Politics, NYU
Role: Teaching Assistant for Professor Gwyneth McClendon
Description: This course is an introduction to comparative politics. As an introductory course, this class is designed to give you a beginning understanding of basic concepts, approaches and methods of studying variation in domestic politics. You will not learn definitive answers to all questions about domestic politics (if indeed there are any such definitive answers), but you will gain a better sense of some of the big questions being asked and of the approaches scholars are using to try to answer them. The course provides introductions to various analytic techniques political scientists use: including game theory, descriptive statistics, regressions, and experiments.
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Quantitative Political Analysis III (POL-GA 2251)
Date: 2020 Fall, 2019 Fall
Institution: Department of Politics, NYU
Role: Teaching Assistant for Professor Arturas Rozenas
Description: This is the 3rd course in NYU quant sequence. The course covers a range of techniques for data analysis and modeling: maximum likelihood, Bayesian inference, and non-parametric methods (machine learning). The class is designed to enable students to read the state of the art political science literature that uses advanced methods and to apply these methods in their own work. The course requires working knowledge of the probability theory, matrix algebra, calculus, and statistical inference at the level of Quant I and Quant II. The course is restricted to NYU PhD students in the Department of Politics.
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