About
I am currently a tenured Associate Professor in the Department of Statistics at the University of California Davis (starting from 2025). I am also affiliated with the Graduate Group in Applied Mathematics and the Graduate Group in Biostatistics.
From October 2020 to June 2025, I was an Assistant Professor in the same department. From October 2018 to September 2020, I was a research associate at Duke University working with Hau-Tieng Wu. I received my PhD in Statistics from the University of Toronto in 2018 under the supervision of Jeremy Quastel. My research is supported by the National Science Foundation.
Research Areas
- Manifold learning, deep learning, and large foundation models
- High-dimensional statistics, 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