Hi! I am a third-year PhD student at USC, working with Professor Joseph J. Lim on deep reinforcement learning for robotics. I completed my undergrad at UC Berkeley, where I worked with Professors Sergey Levine and Dinesh Jayaraman. I have interned at NAVER AI Labs and Horizon Robotics.
My research interests lie in the intersection of deep reinforcement learning and robotics. Specifically, I am interested in improving generalization and sample-efficiency of RL algorithms by injecting inductive biases (e.g., programs), incorporating large offline datasets (e.g., through offline RL), and guiding agents with external knowledge (e.g., large language models).
CS PhD, 2020 - ?
BA in Computer Science, 2016 - 2020
[4/22/22] I have received the ICLR 2022 highlighted reviewer award (top 8%)!
[12/15/21] Gave a talk at the AIPlans Workshop at NeurIPS 2021!
[10/20/21] One paper is accepted to NeurIPS 2021
CSCI 360: Intro to AI (GSI @ USC, Spring 2022): · Held in-class discussion sections, office hours, created new written homework assignments, wrote test questions, and reconfigured course grading structure to use Gradescope
CSCI 566: Deep Learning (GSI @ USC, Fall 2020): · Gave 2 lectures (RL for Robotics), advised 6 deep learning project teams, and held office hours
CS 188: Intro to AI (undergraduate GSI @ UC Berkeley, Fall 2019): · Lead a discussion section and held office hours · Received a teaching rating of 4.75/5, 0.42 above the department average
CS 170: Intro to CS Theory (course reader @ UC Berkeley, Spring 2019): · Held office hours and volunteered to write problems for and help run extra sections on difficult material
Reviewing: · Serving/Served as a reviewer for CoRL 2022, ICML 2022, ICLR 2022 (highlighted reviewer award, top 8%), NeurIPS 2021 (outstanding reviewer award, top 8%), CoRL 2021, ICLR 2021, ICLR SSL-RL Workshop 2021, IEEE ITSC 2019
Irvine ML Organization: · Serving as a principal advisor for Irvine ML Org, which teaches high schoolers about ML in Irvine, CA