Dr. Richard Karp

Professor

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Biography

Richard M. Karp is Professor Emeritus in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He received his Ph.D. from Harvard University in 1959. His career includes being a member of the Mathematical Sciences Department at IBM Research from 1968 to 1994 and serving as a professor at UC Berkeley since 1999. Karp has made significant contributions to the fields of algorithmic methods, genomics, and computer networking and has supervised thirty-six Ph.D. dissertations. His awards include the U.S. National Medal of Science, Turing Award, and several prestigious fellowships. He is a member of the U.S. National Academies of Sciences and Engineering and has received numerous honors for his research and teaching, which focus on algorithms and computational biology. Karp's notable works include studies on protein interactions and efficient reconstruction models in bioinformatics, reflecting his enduring influence in the intersection of computer science and biology.

Research Interests

Experience

Faculty

1999-01-01 — Present

University of California, Berkeley • Berkeley, CA

Professor Emeritus in the Department of Electrical Engineering and Computer Sciences, held the Class of 1939 Chair.

Research Scientist

— Present

International Computer Science Institute • Berkeley, CA

Conducting research related to algorithms in genomics and networking.

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.