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HTTP/2 301 server: GitHub.com content-type: text/html location: https://www.jessezhang.net/ x-github-request-id: 5A4B:3ABDEF:95EEBB:A8800A:69532189 accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 00:49:14 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210049-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767055754.822311,VS0,VE194 vary: Accept-Encoding x-fastly-request-id: 03d65c1b2b61433fc9790d41adf8e4644082fd63 content-length: 162 HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Wed, 15 Oct 2025 18:39:31 GMT access-control-allow-origin: * etag: W/"68efea63-3ee6" expires: Tue, 30 Dec 2025 00:59:14 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: D776:2DDCFF:96B556:A941E0:69532189 accept-ranges: bytes age: 0 date: Tue, 30 Dec 2025 00:49:14 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210051-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767055754.087902,VS0,VE212 vary: Accept-Encoding x-fastly-request-id: 4accc6d2d035055ce714a0d024ae685ebc1a59c9 content-length: 5165 Jesse Zhang. Personal Webpage

Jesse Zhang

jessezha at cs.washington.edu

Hi! I am am a postdoc at UW, advised by Dieter Fox and Abhishek Gupta. I am focused on enabling robots to learn new tasks, autonomously, in the real world.

I completed my PhD at USC, advised by Jesse Thomason and Erdem Biyik at USC, and Joseph J. Lim at KAIST. I completed my undergrad at UC Berkeley, where I worked with Sergey Levine and Dinesh Jayaraman.

I am currently a collaborator at AI2 and have interned at NVIDIA in the Seattle Robotics Lab, AWS Lablets in Rasool Fakoor's team, NAVER AI Labs and Horizon Robotics.

CV / GitHub / Twitter / Google Scholar / Thesis Defense

News

09/25 Gave a talk at Xiaolong Wang's group at UCSD

05/25 I am excited to announce that I will be starting a postdoc with Dieter Fox and Abhishek Gupta at UW!

03/25 Presented HAMSTER at OpenAI's Robotics Reading Group w/ Yi Li and Yuquan Deng!

02/25 Gave a talk as part of the Google Deepmind Tech Talk Series!

01/25 Gave a talk at at the RLLAB at Yonsei University!

12/24 Gave a talk at at the NTU Robot Learning Lab!

02/24 Gave a talk at the PAL lab at UPenn

02/24 Selected as Finalist for the Qualcomm Innovation Fellowship

Research (Highlighted / All )
(* indicates equal contribution, ^† indicates equal advising)

Blog Posts

From Generalists to Specialists: A Case for Real-World RL in Robot Manipulation

LLMs can help robots learn new tasks in unfamiliar places

Service

Workshop Organizing: Eval&Deploy at CoRL 2025.

UROS: Student-run, cross-department robotics reading group and seminar series at USC.

Served as a PhD mentor for the Google x USC AI Community Project, focused on assisting undergraduates from underrepresented backgrounds in teaching AI to students from local Los Angeles middle and high schools.

Serving/Served as a reviewer for ICLR 2025, CoRL 2025, NeurIPS 2025, RSS 2025, RA-L, CHI 2024, ICML 2024, ICLR 2024, NeurIPS 2023, 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

Teaching

TA at University of Southern California

01/2025: CSCI 360: Intro to AI (Undergrad Level)

08/2024: CSCI 566: Deep Learning (Master's Level)

01/2023: CSCI 566: Deep Learning (Master's Level)

01/2022: CSCI 360: Intro to AI (Undergrad Level)

08/2020: CSCI 566: Deep Learning (Master's Level)

UC Berkeley

08/2019: TA CS188: Intro to AI (rating: 4.75/5.00, 0.42 above dept avg)

01/2019: Course Reader CS170: Efficient Algs and Intractable Problems

Inspired by this and this.

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