Dr. Peter Chien

Professor

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Biography

Peter Chien is a Professor in the Department of Statistics at the University of Wisconsin–Madison. His academic focus spans several areas, including Verification, Validation Uncertainty Quantification, and Decision-Making Uncertainty. He is recognized for his significant contributions to Statistical Machine Learning and A/B Testing, which is often referred to as statistical design for online experiments. His work has found applications across physical sciences, engineering, and various industries, with Fortune 500 companies widely adopting his methodologies.

Research Interests

Verification Validation Uncertainty Quantification Decision-Making Uncertainty Statistical Machine Learning A/B Testing

Requirements for University of Wisconsin–Madison

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:92
IELTS
Overall
Required:7
Duolingo
Overall Score
Required:125
Overall
Required:125
Prerequisites
Programming experience (Data Structures, Machine Organization) One year college-level calculus
Application Checklist
  • Statement of Purpose
  • CV/Resume
  • Three letters of recommendation
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Sciences