Xiaoqian Liu

Xiaoqian Liu

Assistant Professor at UCR

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 (GGB). 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 lies at the intersection of statistical machine learning, computational statistics, and numerical optimization. A central focus of my current research is the development of principled methods for evaluating large language models and other AI systems. I also develop transfer learning methods that leverage related but heterogeneous datasets to improve statistical inference and prediction. In parallel, I collaborate on problems in cancer biology and genomics, including MYC acetylation in breast cancer and TP53-associated clinical heterogeneity in Li-Fraumeni syndrome.

I am actively looking for highly motivated Ph.D. students from Statistics and GGB. Interested students are welcome to email me their CV and a brief description of their research interests.

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