Dr. Marjorie Weber

Associate Professor

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Biography

Marjorie Weber is an Associate Professor in the Department of Ecology and Evolutionary Biology at the University of Michigan. She earned her Ph.D. in Ecology and Evolutionary Biology from Cornell University in 2014. Following her doctoral studies, she completed a postdoctoral fellowship at the Center for Population Biology at the University of California, Davis from 2014 to 2016. Prior to her current position, she was an Assistant Professor in Plant Biology at Michigan State University from 2016 to 2022. Her research encompasses the study of ecological interactions that influence phenotypic evolution and diversification across evolutionary scales, with a focus on trait-mediated interactions involving species such as plants, arthropods, and fungi. Dr. Weber's work merges phylogenetic methods with experimental approaches, integrating aspects of ecology and evolutionary biology with natural history. Additionally, she is an advocate for promoting inclusive teaching practices in biology education, as demonstrated through her involvement with Project Biodiversify. For more information on her research and lab activities, please visit her lab website.

Research Interests

Experience

Assistant Professor

2016-01-01 — 2022-01-01

Plant Biology, Michigan State University • East Lansing, MI

Conducted research on plant-insect interactions and taught courses in plant 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