Dr. Peng Ding

Associate Professor

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Biography

Peng Ding is an Associate Professor in the Department of Statistics at the University of California, Berkeley. His research focuses on causal inference, particularly in the context of experiments and observational studies. With applications in biomedical and social sciences, he addresses challenges such as contaminated data, missing data, measurement error, and selection bias. Ding's work contributes significantly to advancing statistical methods and their practical applications in diverse fields, enhancing the rigor and reliability of research findings.

Research Interests

Causal Inference Experiments Observational Studies Biomedical Applications Social Sciences Contaminated Data Missing Data Measurement Error Selection Bias

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.