University of Toronto Academic Session 2024-25

• ECO375: Applied Econometrics (Advanced Undergraduate)

• Third-year course teaching principles of regression, hypothesis testing, elements of causal inference

• Using R as statistical software and matrix algebra.

University of Toronto  

• Helped roll out unified Stata coding and data analysis platform on GitHub across undergraduate cohort using Python

• Designed and coded automated grading in R for empirical data submissions in applied macro

• Guest lecturer and suggestions for readings for causal machine learning master's course

University of Toronto Academic Session 2021 - present

Vancouver School of Economics (UBC) Academic Session 2020

• Econometric Theory I and II (Ph.D.)

• Causal Machine Learning (M.A.)

• Causal Inference, Applied Econometrics (Advanced Undergraduate)

• Data Analysis & Applied Econometrics, Intro to Data Analytics & Big Data, Topics in Data Analytics, Money & Banking, Intro to Microeconomics, Intro to Macroeconomics (Undergraduate)