Teaching

Fall 2026

I am teaching POSC 8410, the second course in the Clemson’s PhD methods sequence. I am also teaching POSC 3710, European Politics. Course Resources will be posted this fall.

Summer 2026: ICPSR Introduction to Python

I am teaching Introduction to Python at the ICPSR Summer Program in Quantitative Methods, University of Michigan. The course is a one-week, hands-on introduction to Python for social scientists, with no prior coding background assumed. It covers data manipulation with pandas, web scraping, API usage, and basic natural language processing, with worked examples drawn from real social science data.

Slides and materials are available here.

Prior Teaching

At Clemson, I have taught the following classes:

  • POSC 8410: Public Data Analysis – first course in the PhD methods sequence, introducing probability theory, statistics, and basic research design. Taught using R.

  • POSC 8420: Advanced Quantitative Analysis for Social Scientists – Second course in the PhD methods sequence, introducing probability theory, statistics, and basic research design. Taught using R.

  • POSC 3710: European Politics - A survey of European Politics focused on the political systems of European countries and pressing political problems facing Europe today.

  • POSC 3710: Quantitaitive Research Methods - An introduction to quantitative methods and research design for undergraduate political science majors, taught using R.

At Georgia State, I have taught:

  • POL4900: Representation and Inequality in Democratic Societies – examines why some groups are less represented, exploring descriptive vs. substantive representation, inequality, and institutional reforms.
  • POL8820: Text-as-Data for Social Scientists – covers text-data methods: descriptive representation, topic models, embeddings, supervised classification, and transformer models like BERT/GPT.

At Princeton, I taught:

  • POL 981: The Junior Independent Work Research Design Seminar (Fall 2017 & Fall 2018) – original research design content (statistical, experimental, qualitative methods). Awarded the George Kateb Prize.