Teaching Statement

I am passionate about making economics and data science accessible through an interdisciplinary, real-world approach. My teaching spans microeconomics, macroeconomics, econometrics, game theory, forecasting, and applied statistical computing, with a focus on turning complex ideas into clear, actionable insights. At Posit (formerly RStudio), I designed end-to-end data science learning pipelines for clients in industry, academia, and government, and I regularly lead workshops on personal investing and applied data analysis. Across all settings, I aim to bridge theory and practice, foster curiosity, and equip learners with the skills to solve real-world problems.

University of California, Davis (2021-Present)

Teaching Assistant

• Econ 141: Economic and Financial Forecasting - Spring 2025
• Econ 140: Econometrics - Fall 2023, Spring 2024
• Econ 001B: Intermediate Macroeconomics - Spring 2023, Fall 2024
• Econ 122: Game Theory - Fall 2022
• Econ 001A: Principles of Microeconomics - Winter 2022
• Econ 100B: Intermediate Microeconomics - Spring 2022
• Econ 001B: Principles of Macroeconomics - Fall 2021

Reed College, Portland, OR (2017-2021)

Teaching Assistant, Grader, Tutor, and Teaching Consultant

Economics Courses

• Econ 201: Introduction to Economics - Fall 2018
• Econ 313: Microeconomic Theory - Fall 2021
• Econ 314: Advanced Macroeconomic Theory - Spring 2021
• Econ 340: International Macroeconomics - Fall 2020
• Econ 343: Behavioral Finance - Spring 2020
• Econ 344: International Monetary Systems - Spring 2021
• Econ 383: International Trade - Fall 2020

Mathematics & Statistics Courses

• Math 111: Calculus - Spring 2018 Fall 2021
• Math 112: Introduction to Analysis - Fall 2018-Fall 2021
• Math 201: Linear Algebra - Spring 2019-Fall 2021
• Math 202: Vector Calculus - Fall 2020-Fall 2021
• Math 241: Data Science - Spring 2020-Fall 2021
• Math 391: Probability Theory - Fall 2021
• Math 392: Mathematical Statistics - Spring 2021