Courses Taught
University of Michigan, Ann Arbor
LLMs and Transformers
(Fall 2024)
Statistics and AI (Deep Learning)
(Winter 2024)
Statistics and AI (Deep Learning)
(Winter 2023)
Statistics and AI (Deep Learning)
(Winter 2022)
Introduction to Statistical Computing
(Winter 2022)
Theory of Reinforcement Learning
(Winter 2021)
Introduction to Statistical Computing
(Winter 2021)
Introduction to Statistical Computing
(Winter 2020)
Programming and Numerical Methods in Statistics: Part A
(Fall 2017)
Introduction to Statistical Computing
(Fall 2017)
Sequential Decision Making with mHealth Applications
(co-taught with
Susan Murphy
, Fall 2016)
Optimization Methods in Statistics
(Fall 2015)
Programming and Numerical Methods in Statistics: Part A
(Fall 2015)
Programming and Numerical Methods in Statistics: Part A
(Fall 2014)
Introduction to Probability
(Fall 2014)
Introduction to Probability
(Fall 2013)
Advanced Topics in Modeling and Data Analysis (High Dimensional Statistics)
(Winter 2013)
Introduction to Probability
(Fall 2012)
TTIC
Learning Theory Course
(co-taught with
Sham Kakade
, Spring 2008)