Jinyang Li

Jinyang Li is a Professor of Computer Science at New York University's Department of Computer Science, part of the Courant Institute of Mathematical Sciences. His research focuses on distributed systems, machine learning systems, operating systems, and wireless networks. He holds a Ph.D. from MIT (2005) and a B.S. from the National University of Singapore (1998).

He co-leads the NYU Systems Group and NYU WIRELESS. Key research interests include distributed training, fault tolerance, and parallel computing. Recent projects include Grendel (distributed 3D Gaussian Splatting) and Ares (memory-efficient GNN training).

• Awards: Distinguished Artifact Award (ASPLOS 2023), Best Paper Award (APsys'17)
• Teaching: Machine Learning Systems (Fall 2025), Computer Systems Organization (Spring 2026)
• Labs: NYU Systems Group, NYU WIRELESS

Publications span topics like distributed protocols, database optimization, and deep learning systems, with a focus on scalability and efficiency. He advises students in collaboration with Prof. Panda, including Ding Ding, Haitian Jiang, and others.