Teaching

This course provides an introduction to causal inference, probability theory, and statistical estimation, with applications to social science problems. It also introduces students to the bases of programming in R. I was teaching assistant for two sections. Student evaluations average: 5/5.

This course introduces students to intermediate and advanced topics in quantitative and computational methodology in social science, such as quasi-experimental designs for causal inference, text analysis, and generalized least squares regression models. I was teaching assistant for two sections. Student evaluations average: 4.5/5.

This course explores the political determinants of economic growth around the question of why some regions of the developing world been more successful at industrialization and poverty alleviation than others, with in-depth analysis of cases in Asia, Africa and Latin America. I was teaching assistant for two sections. Student evaluations average: 4.6/5.