Teaching

I have taught at Harvard for over six years, across three schools and three audiences: working professionals in executive education courses at Harvard's Division of Continuing Education, professional master's students at the Harvard Kennedy School, and undergraduates at Harvard College. My teaching draws directly on my research — causal inference, quantitative analysis for decision-making, and survey design — applied to concrete organizational and policy problems.

A distinctive emphasis of my teaching is the data itself. My research is built on large, unstructured administrative records — payroll, biometric time-clocks, operations logs — and I teach students to turn such records into credible evidence. As AI makes analysis ever cheaper, the scarce skill in empirical research is understanding, structuring, and questioning the data.

years of teaching at Harvard

courses taught

Harvard schools

Teaching interests

Areas I am prepared to teach, at the undergraduate, professional master's, executive, and doctoral levels.

Working with Large-Scale, Unstructured Data

Turning massive, messy records into decision-ready data: payroll, biometric time-clock, and operations logs spanning millions of worker-days, from retailers, a restaurant chain, and a car manufacturer across Latin America. The skill that AI makes more valuable, not less.

Master'sExecutiveUndergraduate

Personnel & Organizational Economics

The economic frameworks behind people decisions: why firms pay above market, how incentives and careers are designed, what managers do, and how compensation and supervision jointly shape effort and productivity.

Master'sUndergraduatePhD

Applied Econometrics & Causal Inference

Research design for experimental and observational data, and the credible use of evidence in decision-making. Taught at the graduate level (API-210, Harvard Kennedy School).

Master'sExecutiveUndergraduate

Labor Economics

Wages, effort, and technological change in the workplace — themes of the undergraduate course I taught with Richard Freeman at Harvard College.

UndergraduateMaster's

Undergraduate — Harvard College

Teaching Fellow, Economics of Discontinuous Change (Econ 1818), with Richard Freeman (2024–2025) How sudden shocks and positive-feedback dynamics reshape the economic position of groups and countries, using simulations and computational tools. Undergraduate economics elective.

Graduate — Harvard Kennedy School

Quantitative methods teaching and capstone advising for professional master's students.

Teaching Fellow, Advanced Quantitative Methods: Causal Inference (API-210) (2026) The modern causal-inference toolkit — randomized evaluations, instrumental variables, regression discontinuity, and difference-in-differences. Econometrics core for MPA/ID students.
Capstone advising: Policy Analysis Exercise (PAE, MPP) and Second-Year Policy Analysis (SYPA, MPA/ID) The degrees' required capstones: second-year students act as consultants to a real client organization, producing analysis and actionable recommendations on a live policy or management problem.
Tutor, Quantitative Analysis and Empirical Methods (API-201) (2025) Probability, statistics, and decision analysis applied to policy questions. Required first-semester quantitative core for MPP students.
Teaching Fellow, The Politics of Development (DPI-410) (2021) State capacity, democracy, clientelism, and reform — how politics shapes growth and development. Required course for MPA/ID candidates.
Teaching Fellow, Public Finance in the International Perspective (DEV-215) (2020) Taxation, redistribution, and public goods in developing countries, with attention to informality and limited state capacity. Elective for HKS master's students.
Teaching Assistant, Advanced Markets and Market Failure (API-101Z) (2019) Microeconomic reasoning for public policy. Required MPP core; the Z section is the accelerated, calculus-based track.
Course Coach, Environmental Politics: Negotiation, Persuasion, and Leadership (IGA-455) (2021) Negotiation, persuasion, and advocacy skills built through simulations of real environmental conflicts. Elective for HKS master's students.

Executive education — Harvard Division of Continuing Education

Four years as Teaching Fellow in executive education courses for working professionals — managers, analysts, and researchers — covering survey design and research design for causal questions.

Teaching Fellow, Survey Research Methods (SSCI E-493) (2022–2025) Questionnaire design, sampling, and the evaluation of polls and survey data. Graduate-level course whose students are largely working professionals.
Teaching Fellow, Advanced Research Methods for the Social Sciences (SSCI E-495) (2022–2025) Experimental designs, surveys, and mixed-methods research — sampling, measurement, and threats to validity — for master's candidates preparing empirical thesis research.

Teaching references: Richard Freeman (Harvard University) and Chase Harrison (Harvard University) — contact information available upon request.