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Generated by DALL·E 2 with a prompt “In the beautiful snowy mountain valley of Wisconsin, Professor Lee gives his artificial intelligence lecture to tens of aspiring students. Artstation”.

Teaching Experience

At UW Madison

  • ECE 901 Advanced Topics in Large Language Models, Fall 2025
  • ECE/ISYE 570 Ethics of Data for Engineers, Spring 2025, Spring 2024.
  • ECE/CS/ME 539 Introduction to Artificial Neural Networks, Fall 2024.
  • ECE 901 Theory of Deep Learning Algorithms and Architectures, Spring 2023.
  • ECE/CS 561 Probability and Information Theory in Machine Learning, Fall 2022.
  • ECE/CS/ME 532 Matrix Methods in Machine Learning, Spring 2022, Fall 2020 (co-taught with Barry Van Veen), Fall 2019
  • ECE 204 Data Science & Engineering, Fall 2021.
  • ECE/CS 761 Mathematical Foundations of Machine Learning, Spring 2021, Spring 2020 (co-taught with Rob Nowak)

At UC Berkeley

  • Head GSI (The Outstanding Graduate Student Instructor Award), EECS 126 Probability and Random Processes, Fall 2015. webpage
  • Head GSI, EECS 126 Probability and Random Processes, Fall 2014. webpage