Courses at Northwestern

I teach courses in statistics, machine learning, and generative AI at Northwestern University.

• IEMS 490: Deep Generative AI (with a focus on diffusion and flow models), Winter 2026

  • 1. Discriminative and Generative Models

  • 2. Mathematical Background

  • 3. VAEs and Diffusion Models | Implementation Details

  • 4. Efficient Sampling: DDIM and Consistency Models

  • 5. Continuous-Time Formulation of Diffusion Models

  • 6. Conditional Diffusion Models | Slides: Reward Guidance

  • 7. Diffusion Models and Reinforcement Learning | Slides: Vision-Language-Action Models

  • 8. Flow Matching

• IEMS 401: Applied Mathematical Statistics, Fall 2024, Fall 2025

• IEMS 304: Statistical Learning for Data Analysis, Winter 2025, Winter 2026