Weiyi He (贺维易)

Hello! I’m Weiyi He, a third-year Ph.D. student at Michigan State University (MSU), dual-majoring in Statistics and Computer Science. I am fortunate to be advised by Prof. Yue Xing and Prof. Jiliang Tang. Prior to MSU, I received my B.S. in Statistics from University of Science and Technology of China (USTC).

My research focuses on Trustworthy AI, Adversarial Training, and Statistical theory for Large Language Models (LLMs). I was also an Applied Scientist Intern at Amazon AGI, where I worked with Giuseppe Vietri and Dmitriy Bespalov on robustness in large language models. I am dedicated to understanding the theoretical foundations of modern AI systems to enhance their reliability and security.

*Bold indicates first or co-first authorship.