Dr. Jennifer Chayes

Professor

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Biography

Jennifer Chayes is a Professor in the Department of Mathematics at the University of California, Berkeley, appointed in 2021. Her research interests encompass a variety of foundational areas in mathematics and computer science, including probability theory, graph theory, graphons, mathematical statistical physics, and machine learning. Through her work, she seeks to understand complex systems and processes through the lens of mathematical principles, contributing to advancements in both theoretical and applied mathematics. Over her career, she has published extensively and is recognized for her contributions to interdisciplinary research that bridges mathematics, statistics, and computer science.

Research Interests

Probability Theory Graph Theory Graphons Mathematical Statistical Physics Machine Learning

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.