Dr. David Bunnell

Associate Professor

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Biography

David "Bo" Bunnell is an Adjunct Associate Professor at the University of Michigan School for Environment and Sustainability and a Research Fishery Biologist at the USGS Great Lakes Science Center. His expertise lies in ecosystem science management, particularly focusing on trophic interactions and the effects of anthropogenic stressors, climate change, and nonindigenous species in aquatic environments. Bunnell’s research investigates food-web interactions in the Great Lakes and strives to understand the complex relationships between environmental changes, such as nutrient reductions in phytoplankton populations, and the dynamics of zooplankton communities and native fish production. His work is supported by the EPA and includes efforts towards the restoration of coregonines in the Great Lakes, where he emphasizes the historical habitat, genetics, and ecological function crucial for the survival of species like cisco and bloater. Bunnell is also involved in global inland fisheries research, examining the underreporting of harvests and developing techniques to estimate yields and assess the impact of climate change and land use on fisheries.

Research Interests

Experience

Research Fishery Biologist

— Present

USGS Great Lakes Science Center • Ann Arbor, Michigan

Engaged in research on fishery biology and ecosystem interactions, focusing on the Great Lakes.

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