At MIT, my teaching has mostly focused on quantitative methods and research design. In future I hope to offer courses in statistical methods, text analyis and research design, as well as my substantive areas of research interest. AT MIT I have taught the following classes:
Political Science Laboratory (Instructor, Spring 2017)
Instructor (lecturer) for undergraduate quantitative methods class with revamped syllabus covering R programming, introductory statistics, experiments, regression, matching, instrumental variables, regression discontinuity and difference-in-differences.
Thesis Design Workshop (TA, Fall 2016)
Undergraduate research design class for seniors majoring in political science, covering topics such as measurement, case selection and causal inference.
Instructor: David Singer. Teaching evaluation score: 6.3/7. Full evaluations are available here
Political Science Laboratory (TA, Spring 2015)
Undergraduate quantitative methods class covering basic statistical theory, data vizualization, introduction to regression, and programming skills in Stata.
Instructor: Charles Stewart. Teaching evaluation score: 6.7/7.
Quantitative Methods 1 (TA, Fall 2013)
Introductory methods class for first-year PhD students covering probability, statistical theory, sampling and simulation, regression analysis and programming skills in R.
Instructor: Jens Hainmueller. Teaching evaluation score: 6.4/7. Full evaluations are available here.
I was also involved in mentoring undergraduate students at MIT as a Graduate Resident Tutor in the wonderful Burton-Conner Dorm for the 2014-15 academic year. This involved living in a diverse community of around 40 undergraduates, providing care and advice, building community spirit, and keeping an eye on my students' well-being and academic performance.