| I am student at UC Berkeley, majoring in Electrical Engineering and Computer Sciences (EECS) and graduating in 2024. I am also an undergraduate researcher in the Robot Learning Lab, where I am advised by Pieter Abbeel and Aravind Rajeswaran. Previously, I was an undergraduate researcher at the Lawrence Berkeley Lab, where I was advised by Xiaosheng Huang. Email / Google Scholar / Github / LinkedIn |  |
| I'm broadly interested in robot learning, offline reinforcement learning, generative modeling and self-supervised representation learning. In particular, I hope to build complex intelligent agents that can generalize to and solve a wide variety of tasks in the real world. My current research revolves around visual representation learning and domain adaptation for embodied intelligence. |
| |
 | EECS 127: Optimization Models in Engineering CS 198-126: Modern Computer Vision and Deep Learning CS 70: Discrete Mathematics and Probability Theory |
| I like to typeset my course notes in LaTeX! Here are some from a few classes I've taken: EECS 126: Probability and Random ProcessesMath 110: Linear Algebra |
| |