Dr. Alison Davis Rabosky

Associate Professor

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Biography

Alison Davis Rabosky is an Associate Professor and Director at the Museum of Zoology in the Department of Ecology and Evolutionary Biology at the University of Michigan. With a Ph.D. in Ecology and Evolutionary Biology from the University of California, Santa Cruz, her research interests encompass behavioral ecology, molecular studies, and conservation management regarding island endemics. Her current projects focus on the evolutionary mechanisms underpinning color polymorphism in reptiles and amphibians, employing comparative genomic methods to understand the evolutionary dynamics in mimicry systems. In her lab, she integrates ecological and behavioral patterns to investigate macroevolutionary trait distributions. A notable component of her research explores the evolution of sociality, particularly in long-lived lizards inhabiting deserts in the southwestern U.S. and Mexico. Concurrently, she collaborates with various institutions to assess genetic diversity and population stability in isolated systems. She is passionate about the intersection of evolutionary biology, conservation, and genetic diversity across varying taxa.

Research Interests

Experience

Associate Professor

2012-01-01 — Present

Museum of Zoology, University of Michigan • Ann Arbor, MI

Teaching and conducting research in Evolutionary Biology and Behavioral Ecology.

Courses

EEB 401-003 Advanced Topics Biology

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science