Xu Zhuang（庄旭）
Ph.D. Candidate in Mathematics • UC Irvine
I am a Ph.D. candidate in mathematics at the University of California, Irvine, advised by Nathan Kaplan.
My mathematical research focuses on geometry over finite fields, drawing on coding theory, algebraic geometry, and topology. I also study non-vanishing questions for L-functions using the method of moments.
Separately, I work on agentic AI—more specifically, agentic reinforcement learning—with Wenzhuo Zhou.