Teaching Philosophy
My teaching emphasizes rigorous causal reasoning applied to real-world policy questions. Across graduate and undergraduate courses, I focus on helping students develop intuition for identification, connect theory to data, and implement modern empirical methods using reproducible workflows in R. I also teach personal finance which implants practical skills for navigating complex financial decisions.
Graduate Courses
Causal Inference and Applied Econometrics (PhD)
EEFE 530 — Penn State University
This course provides doctoral students with a rigorous introduction to causal inference for applied research. Topics include potential outcomes, identification, randomized and quasi-experimental designs, difference-in-differences, instrumental variables, regression discontinuity, panel methods, and threats to validity. The course emphasizes implementation in R and reproducible research using GitHub.
Methods and tools:
- R, Quarto, GitHub
- Administrative and experimental data
- Replication-oriented workflows
Undergraduate Courses
Personal Financial Decision-Making
An applied course covering budgeting, credit, student loans, investing, insurance, and retirement planning. Emphasis is placed on evidence-based decision-making and long-term financial wellbeing.
Environmental Economics and Policy
Introduction to the economic analysis of environmental and natural resource issues, including externalities, public goods, climate change, and environmental regulation.
Economic Analysis of Environmental and Resource Policies
Applied course focused on benefit–cost analysis, policy evaluation, and empirical evidence in environmental and resource economics.
Previous Teaching Experience
Louisiana State University
- Environmental Economics
- Intermediate Microeconomic Theory
- Principles of Microeconomics
University of Washington
- Intermediate Microeconomics
- Introductory Microeconomics
Advising
I advise PhD and MS students on applied research in environmental economics, water resources, and causal inference. I am especially interested in projects that combine field experiments, administrative data, and policy evaluation.