As teaching assistant/grader:

Columbia University

• Statistics Department:
  • Probability and Statistics for Data Science (Fall 2018)
  • Intro to Statistical Reasoning (Spring 2019, Fall 2019, Spring 2020)
  • Probability Theory (Summer 2019, Summer 2021, Summer 2022)
  • Statistical Inference (Summer 2020)
  • Bayesian Statistics (Spring 2021)
  • Advanced Data Analysis (Fall 2021, Spring 2022, Fall 2022)
  • Topics in Modern Statistics: Statistical Graphics (Spring 2023)
  • Statistical Inference and Modeling (Fall 2023)
  • Stochastic Methods in Finance (Spring 2024)
• Mathematics Department:
  • Intro to Modern Analysis I (Summer 2020)

I also designed and taught review sessions for the Columbia Statistics PhD core competency qualifying exam.

Stony Brook University

• MAT 331 - Mathematical Problem Solving with Computers (Fall 2017)
• MAT 351 - Differential Equations: Dynamics and Change (Spring 2017)