Shibo Li (栗识博)
Assistant Professor,
Department of Computer Science,
Florida State University (FSU),
shiboli@cs.fsu.edu
206A James Jay Love Building (LOV)
1017 Academic Way
Tallahassee, FL 32304
Research: My primary research area, AI for Science, integrates physical system analysis with machine learning methodologies. Computational physics, developed over centuries, is essential for understanding the universe and creating new technologies. Meanwhile, AI has revolutionized many sectors. Though these fields may seem distinct, they are complementary: physical insights improve data-driven methods’ efficacy, and data-driven methods capture physical laws flexibly. Leveraging abundant data, these methods provide statistical insights, augment traditional research, and offer efficient computing infrastructure for enhanced efficiency.
My research interests include but not limited to
- probabilistic machine learning and modeling, approximate inference
- surrogate modeling, operator learning, physics-informed machine learning
- multi-task learning, meta learning, transfer learning
- interactive machine learning and optimization
Education: I obtained my Ph.D. degree in Computer Science from The Kahlert School of Computing (SoC) at The University of Utah. During my Ph.D study, I was honorly advised by Dr. Shandian Zhe. I received my M.S. degree from University of Pittsburgh and my B.E. degree from South China University of Technology (SCUT).
FYI: I am avtively looking for self-motivated students to work on interdisciplinary projects in the landscape of AI for Science. Please see the details in here.