Jennifer Zhao
Pleasantries
I’m an incoming CS PhD student at NYU. I recently received my B.A. in computer science and B.A. in applied math from UC Berkeley. I’m emailable at jennifer.z@nyu.edu.
While at Berkeley, I worked with Professor Nika Haghtalab’s lab and Professor Sergey Levine’s RAIL lab. I’m broadly interested in robotics and theoretical foundations of learning, but easily courted by related ideas in CS/math/physics/psychology.
Teaching
- CS 170: Efficient Algorithms and Intractable Problems (Fall 2024, Fall 2025)
Current content head; writing worksheets and exams. - CS 184: Computer Graphics and Imaging (Spring 2025)
Head teaching assistant. Rewrote a lot of discussion worksheets, made a lot of slides. Improved course infrastructure. - CS 70: Discrete Math and Probability (Spring 2024)
Discussion section notes viewable here.
Notebook
- March 19, 2026 Generative Modeling
- January 28, 2026 Math 185: Complex Analysis
- January 28, 2026 Math 128A: Numerical Analysis
- January 26, 2026 System Design
- January 9, 2026 Model-Predictive Control
- January 5, 2026 Linear Temporal Logic
- September 30, 2025 CS 294-198: Design and Evaluation of Processes for Teaching Computer Science at Scale
- September 17, 2025 CS 272: Foundations of Learning, Decisions, and Games
- September 14, 2025 Bugs
- February 11, 2025 Notes