Mingsong Yan

Mingsong Yan is a Visiting Assistant Professor at the University of California, Santa Barbara. His research focuses on theoretical foundations of machine learning and deep learning, particularly in sparse regularization, reproducing kernel Banach spaces, and optimization algorithms. He holds a Ph.D. in Mathematics and is affiliated with the Department of Mathematics at UCSB.

His recent work emphasizes advancing mathematical frameworks for deep learning, including hypothesis spaces analysis, kernel methods in Banach spaces, and optimization techniques for sparse models. He has published extensively in top-tier journals and conferences since 2023.

No scientific awards or grants are explicitly listed in the provided materials. His advising record is not documented here. Research interests include interdisciplinary topics at the intersection of mathematics and artificial intelligence.