Econometrics,
taught through health

Four years of labs, problem sets, and case studies at Harvard — built so students estimate, not just read.

Featured / Interactive labs

Runs R
in browser

Econometrics for Health Policy — Interactive Modules

A module series that teaches econometrics through health problems — OLS, standard errors and clustering, inference, omitted variable bias, and panel data — with graded R exercises that run directly in the browser. No installation, no setup: open a module and start estimating.

Fig_T01 · OLS — residuals minimized

Open the labs →Source

Featured tool

Health System Control Knobs

An interactive teaching tool built around the 'control knobs' framework from Getting Health Reform Right: turn the dials of financing, payment, organization, regulation, and behavior, and watch how health system outcomes respond. Built to give students an intuition that static slides can't.

Fig_T02 · Five knobs, one system

Turn the dials →Source

GHP 525 / 2021–2023

Teaching Fellow

Econometrics for Health Policy

Harvard T.H. Chan School of Public Health

The core econometrics sequence for health policy students — regression, causal inference, and applied methods taught through health applications. I built and ran the R labs, wrote problem sets and exam materials, and translated the theory into code students could actually run.

R lab series: from R introduction through instrumental variables and regression discontinuity
Problem sets with worked solutions (including synthetic control methods)
Clustered standard errors simulation — why and when clustering matters, shown by simulation
Midterm and exam materials with elaborated solutions

PHS 2000B / 2022–2024

Teaching Fellow

Quantitative Methods for Population Health Sciences

Harvard University (doctoral core)

The doctoral methods core for population health PhD students. I taught the causal inference toolkit — instrumental variables, difference-in-differences, regression discontinuity, and interrupted time series — through hands-on labs.

Instrumental variables lab (R Markdown walkthrough)
Regression discontinuity problem set with solutions
Difference-in-differences and interrupted time series labs

GENED 1063 / 2022–2024

Teaching Fellow → TF hiring & coordination

World Health: Challenges and Opportunities

Harvard College (Sue Goldie)

Harvard College's flagship global health course. I led discussion sections — including case studies like tuberculosis control in China — built section guides and teaching scripts, and later coordinated TF recruitment and hiring for the course.

Section guides and slide decks (e.g., tuberculosis in China case study)
Health systems video teaching script
TF onboarding and hiring materials

Recognition

Students noticed. So did the Bok Center.

Certificates of Distinction in Teaching, 2022, 2023, and 2024
Media & Design Fellow, Derek Bok Center (2024–25)
Pedagogy Fellow (2023–24)
ID 100: Foundations for Public Health (~600 students)

3× Distinction
2022–24