Teaching
Below is a list of courses for which I’ve served as a teaching fellow.
EPI207 - Advanced Epidemiologic Methods
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.
🏆 Department of Epidemiology Excellence in Teaching Award 2021
PHS2000 - Quantitative reseach methods
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.
Handout and code for lab on causal interaction and effect modification.
🏆 GSAS Distinction in Teaching Award 2019, 2020, and 2021
EPI260 - Mathematical Modeling of Infectious Diseases
Instructor: Marc Lipsitch
Terms: Spring 2023
Dynamical models to study the transmission dynamics of infectious diseases. Design and construction of appropriate differential equation models, equilibrium and stability analysis, parameter estimation from epidemiological data, determination and interpretation of the basic reproductive number of an infection, stochastic and deterministic models, heterogeneity, techniques for sensitivity analysis, and critique of model assumptions.