Below is a list of courses for which I’ve served as a teaching fellow.
Instructor: James Robins
Terms: Fall 2020, Fall 2021 (Lead)
Required course for epidemiology PhD students. Causal inference for time-varying exposures: g-formula, inverse-probability weighting, marginal structural models, static and dynamic treatment regimes. Responsible for leading 90 min lab section and grading homeworks and tests.
Slides and code for lab on parametric g-formula.
* Department of Epidemiology Excellence in Teaching Award 2021
Instructors: Tyler Vanderweele, Michael Hughes, Issa Dahabreh, and Jarvis Chen
Terms: Fall 2019, Spring 2020, Fall 2021
Year-long required methods course for first-year PhD students. Regression models, sampling, longitudinal and multilevel analysis, time-varying confounding, mediation and interaction, econometric methods, and missing data. Responsible for leading 90 min lab section, developing homework assignments and tests, and drafting course materials.
Slides for bootcamp review on inference.
Slides and code for bootcamp review on linear regression.
Slides and code for lab on survival analysis.
Handout and code for lab on sensitivity analysis.
Handout and code for lab on causal interaction and effect modification.
Handout and code for lab on mediation.
Handout and code for lab on the bootstrap.
* GSAS Distinction in Teaching Award 2019, 2020, and 2021