Dr. Xiucai Ding

Associate Professor

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Biography

Xiucai Ding is currently an Associate Professor in the Department of Statistics at the University of California, Davis. He began his tenure in 2025 after serving as an Assistant Professor from October 2020 to June 2025. Ding completed his PhD in Statistics at the University of Toronto in 2018 under the supervision of Jeremy Quastel. Prior to his appointment at UC Davis, he worked as a research associate at Duke University with Hau-Tieng Wu from October 2018 to September 2020. His current research is supported by the National Science Foundation, focusing on topics such as manifold learning, deep learning, large foundation models, high-dimensional statistics, large scale mean-field asymptotics, applied random matrix theory, scalable computation, randomized numerical linear algebra, stochastic optimization, and non-stationary time series analysis with applications in biological and medical sciences.

Research Interests

Manifold Learning Deep Learning Large Foundation Models High-Dimensional Statistics Large Scale Mean-Field Asymptotics Applied Random Matrix Theory Scalable Computation Randomized Numerical Linear Algebra Stochastic Optimization Non-Stationary Time Series Analysis Applications in Biological and Medical Sciences

Experience

Assistant Professor

2020-10-01 — 2025-06-30

University of California Davis • Davis, CA

Teaching and conducting research in the Department of Statistics.

Research Associate

2018-10-01 — 2020-09-30

Duke University • Durham, NC

Worked under Hau-Tieng Wu, focusing on research in statistics.

Requirements for University of California, Davis

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:80
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree in Computer Science or related field ECS 120 (Theory of Computation) ECS 122A (Algorithm Design and Analysis) ECS 140A (Programming Languages) or ECS 160 (Software Engineering) ECS 150 (Operating Systems) or ECS 154B (Computer Architecture)
Application Checklist
  • Online application
  • Application fee
  • Three letters of recommendation
  • Transcripts
  • Statement of Purpose
  • Personal History Statement
  • CV/Resume
Specialization Notes

Department of Computer Science. GRE is NOT required.