• MATH 581/582/583: Mathematics of Data Science; Aut. '23; Aut., Win., Spr. '22,  

• MATH 516: Convex Analysis and Nonsmooth Optimization; Aut. '21, Spr. ’20

• MATH 581: High Dimensional Probability and Statistical Learning); Aut. 2019:

• MATH 124: Calculus with Analytic Geometry I (2x120); Aut. ’18, Spr. ’18, Aut. ’16.

• MATH 408: Nonlinear Optimization (60); Win. ’23, Win. ’16-'22.

• MATH 582: Convex Analysis (20); Spr. ’19,’20, Win. ’17, Aut. ’15.

• MATH/AMATH 516: Numerical Optimization (20); Spr. ’16, Spr. ’15.

Ph.D. students supervised:

1. Scott Roy (09/2015 - 12/2017) - Data Scientist at Microsoft 

2. Courtney Paquette (09/2015 - 08/2017) - Tenure Track at McGill (2020-onwards)

3. Kellie J. MacPhee (09/2016 - 08/2019) - Data Scientist at Microsoft

4. Zhan Shi (finished with a Master’s thesis, 9/2019 - 9/2020) - Data Scientist at Amazon 

5. Joshua Cutler (09/2020 - present)

Postdocs supervised:

1. Lijun Ding (09/2021 - 09/2022) - Postdoc at University of Wisconsin-Madison