Teaching

• CS C182/282A: Designing, Visualizing and Understanding Deep Neural Networks
  Co-instructor with Anant Sahai
  Fall 2025, Fall 2026
• EECS127/227A: Optimization Models in Engineering
  Instructor
  Spring 2019, Spring 2020, Fall 2022, Spring 2024, Spring 2026
  Lecture recordings (Fall 2022) · Course reader
• EECS 16A: Designing Information Devices and Systems I
  Co-designer and instructor
  Spring 2015 (pilot), Fall 2018, Fall 2019, Fall 2020
  Lecture videos (Spring 2015 pilot) · Recorded lectures (Fall 2018 and Fall 2019) · Webcasts (Fall 2019; see lecture schedule)
• EECS 16B: Designing Information Devices and Systems II
  Co-designer and instructor
  Fall 2015 (pilot), Spring 2021
• Data 102: Data, Inference and Decisions
  Helped design and teach the pilot with Mike Jordan, Fernando Perez and others
  Fall 2019 (pilot)
• CS 24 / EE 98: Transitioning to EECS/CS/DS and related majors at UC Berkeley
  New course created during the pandemic for incoming students
  Fall 2020

As a graduate student

• CS 70: Discrete Mathematics and Probability Theory
  Guest lecturer (approx. 500 students)
  Spring 2014, Fall 2014
• EE 126: Probability and Random Processes
  Graduate Student Instructor
  Fall 2012
• EE 229A: Information Theory and Coding
  Guest lecturer
  Fall 2014