Hi! I am a third-year PhD student at USC, advised by Professors Jesse Thomason and Erdem Biyik at USC and Joseph J. Lim at KAIST 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.

I am currently interning this summer at AWS doing research in Rasool Fakoor’s team.

I am interested in improving generalization and sample-efficiency of reinforcement learning 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).

  • Deep RL
  • Offline Skill Learning
  • Program Synthesis
  • Robotics
  • CS PhD, 2020 - ?


  • BA in Computer Science, 2016 - 2020

    UC Berkeley

Recent News

[5/31/23] Started an internship at AWS research this summer!

[11/22/22] SPRINT is accepted as a spotlight talk at CoRL 2022 LangRob Workshop!

[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!


CSCI 566: Deep learning (GSI @ USC, Spring 2023):
· Held office hours, advised 4 deep learning project teams, configured course to use Gradescope

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**


· Serving/Served as a reviewer for ICML 2023, ICLR 2023, 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