About me
It is always about:
\[y \in \mathbb{R}^n, \qquad X \in \mathbb{R}^{n \times d}, \qquad \theta \in \Theta.\]Contact
chencheng (at) uchicago (dot) edu
Bio
I am an Assistant Professor in Statistics at University of Illinois Urbana-Champaign. Prior to that, I was fortunate to work as a postdoctoral scholar mentored by Professor Rina Foygel Barber at Department of Statistics, University of Chicago, and completed my PhD in Statistics at Stanford University, jointly advised by Professor John Duchi and Andrea Montanari. I was a recipient of the William R. Hewlett Stanford Graduate Fellowship. I received my Bachelor’s degree in Computational Mathematics from Peking University.
I’m broadly interested in learning theory and algorithms for high-dimensional data and statistical models. Over the years, I spanned over topics on high-dimensional statistics, statistical theory on machine learning, reinforcement learning, deep learning theory, and conformal prediction.
Employment
- Assistant Professor in Statistics, University of Illinois at Urbana-Champaign, 2026.8 – Current
- Postdoctoral Scholar in Statistics, University of Chicago, 2025.8 – 2026.8
- Research Intern, LinkedIn Corporation, 2023.6 – 2023.9
Education
- Ph.D. in Statistics, Stanford University, 2019.9 – 2025.6
- B.S. in Mathematics, Peking University, 2015.9 – 2019.6