Teaching Assistant for CS 189/289A (Machine Learning) - Fall 24

Teaching Assistant for CS 189/289A (Machine Learning) - Fall 23, Spring 24Teaching Assistant for EECS 127/227A (Convex Optimization) - Fall 22, Spring 23

Reader for EECS 127/227A (Convex Optimization) - Spring 22Reader for CS 70 (Discrete Mathematics and Probability Theory) - Spring 21, Fall 21

Researching generative video model priors for robot learning. Worked on few-shot imitation learning and visual representation learning for robotics in the past. Advised by Dr. Xingyu Lin, Dr. Aravind Rajeswaran and Dr. Pieter Abbeel.I have contributed to the following research projects:https://arxiv.org/abs/2306.00942https://arxiv.org/abs/2303.18240v2

Founded and instructed CS 198-126: Deep Learning for Computer Vision (now called Deep Learning for Visual Data), a new course at UC Berkeley on topics from modern computer vision. Our course has received official departmental approval, was sponsored by AI/CV faculty at Berkeley including Prof. Stuart Russell and Prof. Trevor Darrell, and has conferred units to over 200+ enrolled students and reached thousands of auditors around the world. I handled course logistics, managed a staff of 8 facilitators and set up a formal pipeline for the development and version control of new educational content.

Citrix Content Collaboration (ShareFile)

Modeling dark matter substructure in strong gravitational lenses with deep neural networks. Advised by Dr. Xiaosheng Huang.

Improving superconducting metallic thin-film deposition techniques with vacuum evaporators. Advised by Dr. William Zimmermann.