Teaching
I have taught courses at both the graduate and undergraduate level. Including Fall 2025, I will have taught “EECS 445: Introduction to Machine Learning,” an upper-level elective with the equivalent of 12 sections, reaching nearly 2,000 students. This is a rigorous hands-on introduction to ML. Most recently in F24, I led an overhaul of EECS 445, as the field of ML is rapidly advancing, and the course content needed to reflect that. Specifically, in collaboration with the three other instructors, we have added content related to autoencoders, pretraining and transfer learning, attention, transformers, bias and fairness in ML, gradient boosting, variational autoencoders, generative adversarial networks and deep RL. With each offering of EECS 445, I work to inject insights from my research in ML. Below is a list of courses I have taught at the University of Michigan.| Course Number | Course Title | Semester |
|---|---|---|
| EECS 598 | Practical Machine Learning | F14 |
| EECS 445 | Introduction to Machine Learning | W15 |
| EECS 203 | Discrete Mathematics | F16 |
| EECS 445 | Introduction to Machine Learning | W16 |
| EECS 445 | Introduction to Machine Learning | W17 |
| EECS 445 | Introduction to Machine Learning | W17 |
| EECS 445 | Introduction to Machine Learning | F17 |
| EECS 445 | Introduction to Machine Learning | F18 |
| EECS 445 | Introduction to Machine Learning | W21 |
| EECS 445 | Introduction to Machine Learning | F21 |
| EECS 445 | Introduction to Machine Learning | F24 |