teaching

MIT

As a postdoctoral instructor, I designed and taught advanced modules for the following course.

• 6.7800 Inference and Information (Spring 2024, Spring 2025)
  • 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 served as 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)
  • Designed Python-based programming assignments.
  • Homeworks:
    • Topic 1. Lempel–Ziv probability [sol]
    • Topic 2. Context-tree weighting [sol]
    • Topic 3. Universal portfolio [sol]
    • Topic 4. Rock–paper–scissors
      
      

• ECE 250 Random Processes (Winter 2017)

• ECE 154C Communication Systems (Spring 2017)
  • Designed Julia-based programming assignments.
  • Homeworks:
    • Topic 1. Binary Huffman coding and Shannon–Fano coding [sol]
      • Basic functions; Binary Huffman coding; Shannon–Fano coding
    • Topic 2. Non-binary Huffman coding and Tunstall coding [sol]
      • Non-binary Huffman coding; Tunstall coding (examples)
    • Topic 3. Tunstall (continued) and Lempel–Ziv encoding [sol]
    • Topic 4. Csiszár–Tusnády and Blahut–Arimoto algorithm [sol]
    • Topic 5. Basic channel coding algorithms [sol]
    • Topic 6. Viterbi algorithm [sol]