teaching

MIT

As a postdoctoral instructor, I helped organize the following course.

• 6.7800 Inference and Information (Spring 2024, Spring 2025)
  • Highlight: designed and lectured bonus sessions on advanced topics of the course.
  • Lecture notes (2025):
    • Topic 1. Minimax optimal bit prediction
    • Topic 2. Group testing and Fano’s inequality
    • Topic 3. Universal large-deviation bounds
    • Topic 4. Plug-and-play universal prediction
    • Topic 5. Variational techniques in generative models

UCSD

I was a teaching assistant for the following courses.

• ECE 269 Linear Algebra and Applications (Winter 2019)
• ECE 225B Universal Probability and Applications in Data Science (Spring 2018)
  • Highlight: designed hands-on programming assignments for the class based on Python.
  • Homeworks:
    • Topic 1. Lempel–Ziv probability assignment [sol]
    • Topic 2. Context-tree weighting [sol]
    • Topic 3. Universal portfolio [sol]
    • Topic 4. Rock-paper-scissor
• ECE 250 Random Processes (Winter 2017)
• ECE 154C Communication Systems (Spring 2017)
  • Highlight: designed hands-on programming assignments for the class based on Julia.
  • Topics: basic source coding and channel coding algorithms.