Teaching

UC Davis:

• STA 035C: Statistical Data Science III (Spring 2026)
• STA 131A: Introduction to Probability Theory (Spring 2026)
• STA 035C: Statistical Data Science III (Spring 2025)
• STA 250: Theoretical Foundations for Machine Learning (Spring 2025)

MIT:

• 6.256 Algebraic Techniques and Semidefinite Optimization (Spring 2019, TA)
• 6.437 Inference and Information (Spring 2018, TA)
• 6.252 Nonlinear Programming (Spring 2017, TA)