- Introduction to Machine Learning (last taught 2009)
- Graphical models (last taught 2011)
- Mathematical Image Analysis (last taught fall 2011)
- Functional Analysis (last taught spring 2012)
- Mathematical Foundations of Computational Anatomy (last taught fall 2023)
- Shape and Differential Geometry (last taught fall 2015)
- Introduction to Statistics (last taught spring 2015)
- Distribution-free methods and Resampling in Statistics (fall 2017)
- Machine Learning I (Fall 2020)
- Machine Learning II (Spring 2020)
- Optimization in Data Science (Spring 2022)