Shizhou Xu, originally from China, earned his Ph.D. from the University of California, Davis in 2024 under the supervision of Professor Thomas Strohmer. His research focuses on the intersection of mathematics and trustworthy artificial intelligence, with particular emphasis on fairness, privacy, interpretability, and robustness in machine learning.
