I am passionate about teaching macroeconomics, mathematical tools, and environmental economics at both the undergraduate and graduate levels. My approach blends clear intuition, careful use of mathematics, and hands-on quantitative tools (MATLAB/Python) to help students analyze real policy problems. I create inclusive classrooms through structured discussion and low-stakes practice.
Economics Math Camp (Undergraduate) — Georgetown University, 2023
Intensive review of mathematical tools for intermediate economics (functions, optimization, calculus, and probability) through daily theory and applied problem-solving sessions. [Syllabus]
Economics Math Camp (Ph.D.) — Georgetown University, 2021–2022
Measure-theoretic probability, dynamic programming, and numerical methods primer. [Syllabus]
Principles of Macroeconomics (Undergraduate) — Georgetown University, 2021
Introduction to macroeconomics covering measurement of key aggregates, long-run growth models, and short-run fluctuations with applications to fiscal and monetary policy. [Syllabus] [Evaluation]
Macroeconomics II (Ph.D.) — Georgetown University, 2021–2024 [Evaluations: 2022, 2021]
Environmental Economics (Undergraduate) — Georgetown University, 2022–2023 [Evaluation: 2022]
Predictive Analytics (Master's in Business) — Georgetown University, 2021–2022
Macroeconomics I (Ph.D.) — Georgetown University, 2021 [Evaluation]
Principles of Macroeconomics (Undergraduate) — Georgetown University, 2020 [Evaluation]