Teaching

My primary teaching interests are in American politics, political behavior, public policy, public opinion, quantitative methods and gender and sexuality in American politics.

Past teaching experiences include:

  • PLSC 214: The Politics of American Public Policy (with Jacob Hacker) 
    • This course is an introduction to the politics of public policy in the United States and the methodological and theoretical tools used to study it. Political science and economic perspectives on the policy process are coupled with investigations of pressing domestic policy issues, such as inequality, insecurity, climate, and criminal justice.
  • PLSC 203: Women, Politics, and Policy (with Andrea Aldrich)
    • This course is an introduction to the way gender structures how we interpret the political world, exploring topics such as women’s access to power, descriptive and substantive representation, evaluation of the functioning of political institutions, and analysis of government policy. It also serves as an introduction to reading and producing empirical research on gender in the social sciences.                     
  • PLSC 438/536: Applied Quantitative Research Design (with Shiro Kuriwaki)
    • This class, intended for advanced students interested in social science research, trains students with best practices for designing and implementing rigorous quantitative research. It cover designs in causal inference, prediction, and missing data at a high level. This is a hands-on, application-oriented class. Exercises involve programming and statistics in addition to the social sciences (politics, economics, and policy).
  • S&DS 100/500: Introductory Statistics (with Ethan Meyers)
    • An introduction to statistical reasoning. Topics include numerical and graphical summaries of data, data acquisition and experimental design, probability, hypothesis testing, confidence intervals, correlation, regression, multiple regression, and ANOVA. Application of statistical concepts to data; analysis of real-world problems. A basic introduction to the R programming language.