Summary
Shuai Li is an associate professor at Shanghai Jiao Tong University with a decade of experience bridging theoretical machine learning and applied bioinformatics. He earned a PhD in Computer Science from CUHK after rigorous mathematical training (BSc and MSc in Mathematics) and has focused research on bandits, online learning, and reinforcement learning, with internships at DeepMind, Adobe, and visits to Berkeley and Alberta. His work combines provable learning theory with practical algorithm design, evident from collaborations on generalized linear bandits and UCRL during research visits. Comfortable teaching across undergraduate and graduate courses, he brings both deep theory and hands-on research mentorship to students and collaborators in Shanghai.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Mathematics, 3.92/4.00, Bachelor's degree, Mathematics, 3.92/4.00 at Zhejiang University
Master's degree, Mathematics, Master's degree, Mathematics at University of Chinese Academy of Sciences
The Chinese University of Hong Kong (CUHK)