Dr. Stacy Rosenbaum

Associate Professor

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Biography

Stacy Rosenbaum is an Associate Professor of Anthropology and Director of Undergraduate Studies at the University of Michigan. She specializes in biological anthropology, focusing on the ecological causes and evolutionary consequences of social behavior in humans and non-human primates. Her research interests include the development and maintenance of social relationships over individuals' lifetimes and the physiological correlates of social behavior, such as hormonal influences on interactions and overall well-being. She conducts extensive fieldwork with endangered mountain gorillas in Africa, utilizing over 50 years of monitoring data. Her work aims to understand the evolution of sociality by integrating behavioral, genetic, and ecological data. In addition to her gorilla research, she is involved in studies concerning human and non-human primate health, utilizing various longitudinal surveys and datasets from regions like Cebu, Philippines, and southern Kenya. Rosenbaum holds a PhD from the University of California, Los Angeles, and has published numerous articles contributing to the field of anthropology and primate behavior.

Research Interests

Experience

Associate Professor

— Present

University of Michigan • Ann Arbor, MI

Teaching and conducting research in biological anthropology, with a focus on primate behavior and sociality.

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