Jian Li

Jian Li is an Assistant Professor of Data Science in the Department of Applied Mathematics and Statistics and Computer Science at Stony Brook University, part of the College of Engineering and Applied Sciences. He is affiliated with the AI Innovation Institute (AI3) and the Institute for Advanced Computational Science (IACS). His research focuses on Reinforcement Learning, Federated Learning, Stochastic Optimization, and Trustworthy AI systems, with applications in wireless networks and edge computing. Previously, he held positions at SUNY-Binghamton and the University of Massachusetts Amherst.

Dr. Li holds a Ph.D. in Computer Engineering from Texas A&M University (2016) and a B.E. from Shanghai Jiao Tong University (2012). His work has garnered prestigious awards, including the NSF CAREER Award (2024), NSF CISE CRII Award (2021), and multiple best-paper recognitions. He actively mentors students, including Shufan Wang and Adebayo Braimah, who have achieved notable academic accolades.

His research explores theoretical advancements in RL and systems security, with grants from NSF, ARO, and DOE. Recent activities include organizing workshops at ACM SIGMETRICS 2025 and serving as an Area Chair for NeurIPS 2025. He leads the DIENS Lab, focusing on AI-driven systems and large-scale networked intelligence.