Teaching

Below are the courses that I teach at UCLA.

STATS 102B: Intro to Computing and Optimization

This is an undergraduate level course, and is offered in Springs 2025, 2024 & 2023.

STATS 202B: Matrix Algebra and Optimization

This is a graduate level course that introduces students to algorithms and their theoretical underpinnings extensively used in modern machine learning. It covers:

• first order methods, including gradient descent and its variants;
• conditions for optimality for convex constrained optimization problems and basics of duality theory;
• challenges posed by non-convex problems.

This course is offered in Winters 2026, 2025, 2024 & 2023.

STATS 417: Models in Finance

This is a graduate level course, and is offered in Winters 2025 & 2024.

STATS 426: Deep Learning

This is a graduate level course, and is offered in Winter 2026.