Hi, I'm Fang WU!

portraitWelcome to my personal web page! I am a Ph.D. student at Stanford Computer Science, advised by Yejin Choi and Jure Leskovec. I have great fortune to work with James Zou and Brian Trippe during the first year. Previously, I was a research engineer at Tsinghua University advised by Jinbo Xu. I obtained my Master's degree at Columbia University, advised by Dragomir Radev. It is a profound loss for me to lose Prof. Radev on March 29, 2023 (in memoriam). My present research focuses on LLMs, agent systems, and AI4Science.

           
Email: fangwu97 [at] stanford [dot] edu
Address: Stanford, CA, USA
Last update time: 2025.11

News and Highlights

   [2025/09] One corresponding paper is accepted by NeurIPS 2025.
   [2025/05] One papers is accepted by KDD 2025.
   [2025/05] Two papers are accepted by ACL 2025.
   [2025/04] One collaborated paper is accepted by ICML 2025. Congrats to Arthor Deng!
   [2025/02] One paper on mutant effect prediction is accepted by TMLR.

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Research Summary

* represents equal contribution and co-first authorship. † denotes the corresponding author(s).

Education

   Stanford University, 2024-now
   • Ph.D. in Computer Science

   Columbia University, 2019-2021
   • Master of Science
   • GPA: 3.51/4.0

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Industry Experience

   Research Scientist Intern (2025.06)
   • Bytedance Research
   • Led by Quanquan Gu

   Research Scientist (2023.06-2024.06)
   • BioMap
   • Led by Le Song

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Research Experience

Before joining Stanford University, I feel fortunate to be a research assistant/engineer advised by Jinbo Xu and Stan Z. Li, and recieved guidance as a visiting student from Huajun Chen, Xiang Bai and Danny Lan.

   Research Student (2024.09-2024.12)
   • Arc Institute
   • Advised by Brian Hie

   Research Engineer (2022.08-2023.05)
   • Tsinghua University
   • Advised by Jinbo Xu

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Professional Services

Reviewer: ICLR 2024-2026, NeurIPS 2023-2025, ICML 2025, CVPR 2025, ICCV 2025, KDD 2025, AISTATS 2025, AAAI 2026, IJCAI 2025, ML4H 2023-2024, TMLR, IEEE TNNLS

Teaching: CS224N (2024 Winter)

Acknowledgement

My study cannot be possible without the support from my awesome friends, mentors, and collaborators! Check out some of them:

Prof. James Zou, Prof. Brian Trippe, Dr. Auther Deng at Stanford University.
Prof. Dragomir Radev, Dr. Xiangru Tang at Yale University. R.I.P. to Dr. Dragomir.

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Aside from university collaborations, I also collaborated with many industrial AIDD companies, including MindrankAI, MoleculeMind, and Biomap

Dr. Zhangming Niu, Dr. Xurui Jin, and Dr. Yinghui Jiang at MindrankAI.
Dr. Xiaoyang Jing, Dr. Tenglong Wang, Dr. Wuwei Tan at MoleculeMind.

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