 Welcome 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.
Welcome 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
	
			    [2025/09] One corresponding paper is accepted by NeurIPS 2025.
			    [2025/09] One corresponding paper is accepted by NeurIPS 2025. 
			    [2025/05] One papers is accepted by KDD 2025.
			    [2025/05] One papers is accepted by KDD 2025. 
			    [2025/05] Two papers are accepted by ACL 2025.
			
			       [2025/05] Two papers are accepted by ACL 2025. 
			    [2025/04] One collaborated paper is accepted by ICML 2025. Congrats to Arthor Deng!
			
			       [2025/04] One collaborated paper is accepted by ICML 2025. Congrats to Arthor Deng! 
			    [2025/02] One paper on mutant effect prediction is accepted by TMLR.
			
			       [2025/02] One paper on mutant effect prediction is accepted by TMLR. 
			
		
* represents equal contribution and co-first authorship. † denotes the corresponding author(s).
 
			    Stanford University, 2024-now
			   Stanford University, 2024-now  
			   • Ph.D. in Computer Science
			
			
		
			    Columbia University, 2019-2021
			   Columbia University, 2019-2021  
			   • Master of Science
			   • GPA: 3.51/4.0 
			
		
			    Research Scientist Intern (2025.06)
			   Research Scientist Intern (2025.06) 
			   • Bytedance Research
			   • Led by Quanquan Gu
			
		
			    Research Scientist (2023.06-2024.06)
			   Research Scientist (2023.06-2024.06) 
			   • BioMap
			   • Led by Le Song
			
		
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)
			   Research Student (2024.09-2024.12) 
			   • Arc Institute
			   • Advised by Brian Hie
			
		
 
			    Research Engineer (2022.08-2023.05)
			   Research Engineer (2022.08-2023.05) 
			   • Tsinghua University 
			   • Advised by Jinbo Xu
			
		
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)
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. 
		
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.
		
