Teaching

Department of Statistics, University of Michigan

2024 Winter, 2024 Fall, 2025 Winter, DATASCI 451: Bayesian Data Analysis.
2023 Fall, STATS 605: Advanced Topics in Modeling and Data Analysis.
2023 Winter, STATS/DATASCI 451: Bayesian Data Analysis.
2020 Winter, STATS 551: Bayesian Modeling and Computation.
2019 Fall, STATS 451: Bayesian Models.
2019 Winter, STATS 451: Bayesian Data Analysis.
2019 Winter, STATS 551: Bayesian Modeling and Computation.
2018 Winter, STATS 551: Bayesian Modeling and Computation.
2017 Fall, STATS 700: Bayesian Modeling and Computation.

Department of Biostatistics, University of Michigan

2023 Big Data Summer Institute: Missing Data.
2019 Big Data Summer Institute: Bayesian Computation.
2018 Big Data Summer Institute; Bayesian Models.

Michigan Institute for Data Sciences (MIDAS), University of Michigan

Introduction to Data Science and AI Summer Academy 2024, June 3–7, 2024.
Tutorial on Bayesian Statistics (slides), Schmidt AI in Science Bootcamp, September, 2023.
Applied Statistics for Environmental Scientists, August, 2023.
Applied Statistics for Environmental Scientists, November, 2022.

My teaching statement (2024) is here.