I am a Ph.D. candidate in mathematics at University of Wisconsin-Madison, working with Prof. Hanbaek Lyu. My research mainly focuses on large-scale optimization, where I developed and analyzed various methods including:
- Block optimization for nonconvex problems
- Riemannian optimization
- Stochastic optimization
- Trust-region methods
I am also interested in applying these optimization techniques to real-world problems, especially in the field of machine learning.
