Dr. Tina Lasisi

Assistant Professor

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Biography

Tina Lasisi is an Assistant Professor at the University of Michigan's College of Literature, Science, and the Arts, specializing in Biological Anthropology. With a PhD in Anthropology from Penn State University and a BA in Archaeology & Anthropology from the University of Cambridge, her research focuses on understanding human biological variation through the lens of hair pigmentation. She explores the evolutionary advantages of tightly curled hair and develops standardized methodologies for studying hair curvature and cross-sectional shape. Lasisi's ongoing work is highly interdisciplinary, collaborating with experts in population genetics, computer science, dermatology, and forensics. Her primary research interests include hair pigmentation, evolutionary biology, facial recognition, and forensic genetics.

Research Interests

Awards

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AABA Leakey Foundation Communication & Outreach Award

2024-01-01
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Popular Science Brilliant 10

2023-01-01
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Jon C. Graff, PhD Prize for Excellence in Science Communication

2022-01-01
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Science News Top 10 Scientists to Watch

2022-01-01
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Wenner-Gren Foundation Dissertation Fieldwork Grant

2019-01-01
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National Science Foundation Doctoral Dissertation Improvement Grant

2019-01-01
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Juan Comas Prize

2018-01-01

Courses

ANTHRBIO 469-001 Topics Biological Anthropology ANTHRBIO 471-002 Research Biological Anthropology

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