Teaching
- AY 2022/2023:
- STAT 590 Statistics Seminar
- Spring 2024:
STAT 435, Introduction to Statistical Machine Learning (course info) - Autumn 2023:
STAT 512, Statistical Inference (course info)(complete lecture notes – these notes are based on Yen-Chi Chen’s lecture notes from 2020) - AY 2022/2023:
- STAT 590 Statistics Seminar
- Spring 2021:
STAT 591 Special Topics Course in Causal Inference - Autumn 2021:
STAT/CSE 416, Introduction to Machine Learning (course info)
STAT 502, Design and Analysis of Experiments (course info) - Spring 2021:
STAT 435, Introduction to Statistical Machine Learning (course info)
DATA 598, Special Topics In Data Science: Causal Inference - Winter 2021:
STAT 504, Applied Regression (course info) - Summer 2020:
STAT 220, Statistical Reasoning (course info) - Spring 2020:
STAT 220, Statistical Reasoning (course info) - Winter 2020:
STAT 504, Applied Regression (course info)
STAT 423, Applied Regression and Analysis of Variance (course info) - Autumn 2019:
STAT 502, Design and Analysis of Experiments (course info) - Spring 2019:
STAT 220, Principles of Statistical Reasoning (course info) - Winter 2019:
STAT 504, Applied Regression (course info) - Autumn 2018:
STAT 502, Design and Analysis of Experiments (course info)
Teaching Assistant
- Spring 2018:
Applied Multivariate Statistics - Autumn 2017:
Seminar in Statistics: Computer Age Statistical Inference - Spring 2017:
Seminar in Statistics: Statistical Inference under Shape Restrictions - Autumn 2016:
Fundamentals of Mathematical Statistics - Spring 2016:
Applied Multivariate Statistics - Autumn 2015:
Applied Analysis of Variance and Experimental Design - Spring 2015:
Computational Statistics - Autumn 2014:
Applied Statistical Regression