xcading@ucdavis.edu

Department of Statistics
University of California Davis
Davis, CA 95616

 

 

I am currently a tenured Associate Professor in the Department of Statistics at the University of California Davis (starting from 2025). I am also a faculty in Graduate Group in Applied Mathematics(GGAM) and Graduate Group in Biostatistics(GGB). From 2020/10-2025/06, I was an Assistant Professor in the same department. From 2018/10-2020/09, I was a research associate at Duke University working with Hau-Tieng Wu. Before that, I got my PhD in statistics in 2018 from the University of Toronto (2014-2018), under the supervision of Jeremy Quastel. My current research is supported by National Science Foundation. Currently, I focus on the following topics:

• Manifold learning, deep learning, and large foundation models
• High-dimensional statistics, large scale mean-field asymptotics and applied random matrix theory
• Scalable computation via randomized numerical linear algebra and stochastic optimization
• Non-stationary time series analysis
• Applications in biological and medical sciences