Dr. John Wright

Assistant Professor

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Biography

John Wright is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research is primarily focused on theoretical computer science, with a particular emphasis on quantum computing. He has made significant contributions in several areas including quantum state learning, quantum complexity theory, property testing, and approximation algorithms. Prior to his current position, Wright completed his Ph.D. at Carnegie Mellon University under the supervision of Ryan O'Donnell. He also holds a Bachelor of Science degree in Computer Science from the University of Texas at Austin. Throughout his academic career, he has established himself as a prominent researcher and was recognized with the IEEE CS TCPAMI Young Researcher Award in 2015. His work has made an impact on the understanding of quantum algorithms and the complexities associated with them.

Research Interests

Quantum Computing Quantum State Learning Quantum Complexity Theory Property Testing Approximation Algorithms

Experience

Assistant Professor

— Present

University of California, Berkeley • Berkeley, CA

Assistant Professor in the Department of Electrical Engineering and Computer Sciences.

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.