Teaching

Causal Inference in Public Health Research (PHTH 6800)

Instructor, Northeastern University Department of Health Sciences, 2025

This is a first course in causal inference for PhD students, introducing causal diagrams and counterfactual theory to pose causal questions and evaluate causal claims in public health. Students will learn to design and analyze randomized and observational studies to answer causal questions, and understand and interpret complex causal studies, including instrumental variables, difference-in-differences, synthetic controls, regression discontinuity designs, dynamic treatment regimes, and proximal causal learning.

Methods for Observational Research 2 (HSCI 5151)

Instructor, Northeastern University Department of Health Sciences, 2024

This course examines advanced methods in conducting observational research across pharmacoepidemiology, emphasizing approaches used by the Observational Health Data Sciences and Informatics (OHDSI) community. Focuses on using open-source software and open-science principles to conduct and interpret a real-world evidence (RWE) study.

Statistical Inference (BST 222)

Teaching Fellow, Harvard Biostatistics, 2022

I served as a TF in Fall 2022 for BST 222 taught by Rui Duan. I also TF’ed for this course in 2021, 2020, and 2019. I taught labs for this course in probability theory and statistical inference for masters students in biostatistics and doctoral students in epidemiology, environmental sciences, and other departments, using Casella and Berger.

Applied Survival Analysis (BST 223)

Teaching Fellow, Harvard Biostatistics, 2022

I served as a teaching fellow in Spring 2022 for the Harvard Biostatistics department’s course on applied survival analysis taught by Professor Sebastien Haneuse (class size: 100).

Advanced Topics in Clinical Trials (BST 238)

Head Teaching Fellow, Harvard Biostatistics, 2021

I served as the head teaching fellow in Spring 2021 for this doctoral course for biostatistics students on advanced topics in the design, analysis, and interpretation of clinical trials, including study design; choice of endpoints; interim analyses and group sequential methods; subgroup analyses; and meta-analyses. I served as a teaching fellow in Spring 2020.

Principles of Clinical Trials (BST 214)

Head Teaching Fellow, Harvard Biostatistics, 2021

I served as the head teaching fellow in Spring 2021 and a teaching fellow in Spring 2020 for this introductory course about topics in the design, analysis, and interpretation of clinical trials.