I am a Ph.D. student in computer science at Stanford University, advised by Jiajun Wu. I am affiliated with the Stanford Artificial Intelligence Laboratory and the Stanford Vision and Learning Lab. My current research interest is in learning distributions and extracting abstractions from perceptual data with the help of 3D representations.
Previously, I received B.A. in computer science and pure mathematics from UC Berkeley. I did research as part of the Berkeley Artificial Intelligence Lab, advised by Pieter Abbeel and Lerrel Pinto.
Email: yzzhang at cs dot stanford dot edu
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- Teaching Assistant, Stanford Psych225/CS322: Triangulating Intelligence: Melding Neuroscience, Psychology, and AI, Winter 2022
- Teaching Assistant, UC Berkeley CS170: Efficient Algorithms and Intractable Problems, Fall 2019
- Teaching Assistant, UC Berkeley CS70: Discrete Mathematics and Probability Theory, Spring 2018
- Honorable Mentions, CRA Outstanding Undergraduate Researchers, 2020
- Arthur M. Hopkin Award, 2018-2019