Tian Li
I am an Assistant Professor at the Computer Science Department and the Data Science Institute at the University of Chicago. I am also a member of the UChicago Committee on Computational and Applied Mathematics.
My research centers around large-scale machine learning and optimization.
Our group develops learning algorithms that account for constraints in computation, memory, and communication. We study how algorithmic choices affect convergence and generalization, and investigate the interplay between learning algorithms and modern model architectures.
We also study how AI systems can extend their capabilities through collaboration, from distributed learning to multi-agent systems.
Across these directions, we treat privacy, robustness, and safety as integral parts of system design. We investigate how vulnerabilities arise in models and multi-agent systems, and develop methods to mitigate them.
I am always looking for strong and motivated undergraduate and graduate students and postdocs. For Ph.D. applicants, please apply through the CS PhD program and/or the DS PhD program, and mention my name in your application(s).