MIT

  • 6.7900 Machine Learning, fall 2023

Stanford

  • Statistical Consulting Workshop (STATS 390), instructor, summer 2020

  • Modern Markov Chains (STATS 318), teaching assistant, spring 2020

  • Computing for data science (STATS 290), teaching assistant, winter 2020

  • Applied Statistics PhD Qualifying Exam Workshop (STATS 302), instructor, summer 2019

  • Statistical Consulting Workshop (STATS 390), instructor, summer 2019

  • Theory of Statistics III (STATS 300C), teaching assistant, spring 2019

  • Theory of Statistics II (STATS 300B), teaching assistant, winter 2019

  • Theory of Statistics I (STATS 300A), teaching assistant, fall 2018

  • Applied Statistics III (STATS 305C), head teaching assistant, spring 2018

  • Monte Carlo (STATS 362), teaching assistant, winter 2018

  • Statistical Theory Qualifying Exam Workshop (STATS 302), instructor, summer 2017

  • Introduction to Statistical Learning (STATS 216V), head teaching assistant, summer 2017

  • Theory of Statistics II (STATS 300B), teaching assistant, winter 2017

  • Theory of Probability I (MATH 230A/STATS 310A), teaching assistant, fall 2016

  • Introduction to Statistical Learning (STATS 216V), teaching assistant, summer 2016

  • Introduction to Statistical Learning (STATS 216V), teaching assistant, winter 2016

Awards