Dr. Gavin Sherlock

Professor

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Biography

Gavin Sherlock is a Professor in the Department of Genetics at Stanford University. He focuses on the study of adaptive evolution and the fitness landscape of yeast populations. His research emphasizes the identification and understanding of mutations that confer adaptive advantages, utilizing high throughput sequencing techniques. Sherlock has pioneered methods in lineage tracking that explore the distribution of fitness effects associated with beneficial mutations. His investigations also address genotype-fitness mapping and the trade-offs that influence adaptive evolution within biological systems. With an educational background from Manchester University, he holds a B.Sc. in Genetics and a Ph.D. in Molecular Biology. He has received numerous awards including the John Buckley Entrance Scholarship and the Cold Spring Harbor Fellowship. His contributions to the field have been recognized through various appointments and honors, and he is dedicated to mentoring the next generation of scientists at Stanford.

Research Interests

Experience

Professor

— 2026-01-01

Stanford University • PALO ALTO, California

Professor in the Department of Genetics focusing on adaptive evolution and genetic research.

Awards

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John Buckley Entrance Scholarship

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Prize Studentship

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Cold Spring Harbor Fellowship

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Army Breast Cancer Research Fellowship

Courses

HUMBIO 2A BMDS 295 BMDS 299 GENE 299 GENE 399 BMDS 370 GENE 370 GENE 260 GENE 199 GENE 211

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.