Xuefeng Liu

Research: My research spans two complementary directions.

• Machine Learning Foundations: I develop practically driven, theoretically grounded methods in reinforcement learning, generative modeling and Agentic AI.

• AI for Biomedicine: I integrate biomedical modeling with advanced AI to address the CURED challenges — Controllability, Unified multimodality, Robustness, Efficiency, and Dependability on biophysical and biological principles — in disease diagnosis and therapy.

My research interests include, but are not limited to:

• AI for Biomedicine
  • Biomolecular design, drug discovery, biomarker discovery, lead discovery and optimization
• Reinforcement Learning
  • RL in pretraining, post-training, decoding
  • Reasoning, planning, and decision-making under uncertainty
• Agentic AI for Scientific Discovery
  • Multimodal reasoning systems for autonomous scientific discovery
• Generative AI and Foundation Models
  • Generative modeling for biomedicine and beyond
• Scientific Machine Learning
  • Physics- and Biology-informed machine learning
• Human-AI co-scientist

About Me: I am a Postdoctoral Fellow at School of Medicine, Stanford University, working with Prof. Le Cong and Prof. Mengdi Wang (Princeton University). Before joining Stanford, I received my Ph.D. in Computer Science from University of Chicago, where I was advised by Prof. Rick L. Stevens, with co-advisors Prof. Yuxin Chen and Prof. Jinbo Xu, and mentorship from Prof. Tobin R. Sosnick. I also served as a Research Associate at Argonne National Laboratory, where my work focuses on AI for Biomedicine.

Open Opportunities:

• [Recruiting] Starting in Fall 2026, I will join the University of Florida as a tenure-track Assistant Professor, and I am actively recruiting PhD students and Postdoc researchers. I am looking for highly motivated candidates with a passion for research and strong coding skills; solid mathematical foundations are a plus. Please send your CV, a brief summary of your research experience, and a description of your research interests to xuefeng.liu@ufl.edu.

• [Research Students] I have open research opportunities—feel free to email me if you are interested! Candidates are expected to have earned an A- or A in Deep Learning, or a related course.

Teaching:

• [CAI 6734] Applied Generative AI in Medicine — Fall 2026