About me
I am a tenure-track assistant professor in the Department of Statistics at the University of California, Riverside. I am also a faculty member of the UCR Graduate Program in Genetics, Genomics & Bioinformatics. Previously, I was a postdoctoral fellow at the University of Texas MD Anderson Cancer Center from 2022 to 2024. I received my Ph.D. in Statistics from North Carolina State University in 2022. My research interests lie broadly in statistical machine learning, computational statistics, and numerical optimization, with applications in (1) bioinformatics and cancer biology, and (2) LLM evaluation.
I am actively looking for highly motivated Ph.D. students to work on 1) method and algorithm development in statistics and machine learning, 2) LLM evaluation, and 3) applications in cancer biology. Please feel free to send me an email with your CV if you are interested.
News
- June 2026: Congratulations to Xinhao on receiving the Morris J. Garber Award!
- June 2026: Honored to receive the Rho Sigma Rao Faculty Award!
- May 2026: Our paper, An Interpretable and Scalable Framework for Evaluating Large Language Models, is now available on arXiv!
- April 2026: Our paper, Transfer Learning for Robust Structured Regression with Bi-level Source Detection, is now available on arXiv!
- Oct. 2025: Our work on transfer learning for TP53 mutation annotation is now available on bioRxiv.