Jennifer Zhao

../Github  ../LinkedIn  ~

Pleasantries

I’m an incoming NYU CS PhD student. I recently graduated from UC Berkeley, earning my B.A. in computer science and B.A. in applied math (with an info theory concentration). I’m emailable at jennifer.z@nyu.edu.

Previously, I conducted research with Professor Nika Haghtalab and Professor Sergey Levine. 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)
  Content head; wrote 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