Mufan Li

Mufan Li is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo and a Faculty Affiliate at the Vector Institute. Previously, he held a DataX Postdoctoral Research Associate position at Princeton University, collaborating with Boris Hanin, after earning his PhD from the Department of Statistical Sciences at the University of Toronto under advisors Daniel Roy and Murat Erdogdu.

• Research Focus: Deep learning theory, particularly scaling limits of large neural networks and their training dynamics. His work explores mathematical foundations to understand how neural networks behave as they grow in size and complexity.
• Other Activities: Maintains an educational blog on advanced mathematical topics not directly tied to his formal research, emphasizing optimal transport and related concepts.