Dr. Mark Lewis

Professor

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Biography

Mark Lewis is an expert in Mathematical Biology, specifically focusing on spatial ecology and the development of mathematical models to understand complex ecological problems. He conducts interdisciplinary research that involves a variety of approaches, ranging from the analysis of nonlinear mathematical models to fieldwork in different ecosystems. His work addresses significant ecological issues such as the impacts of anthropogenic disturbances on wildlife populations, including large species like grizzly bears, wolves, caribou, and polar bears. Lewis leads the Lewis Research Group at the University of Victoria, where he continues to supervise students and postdocs. His research interests encompass areas like cognitive maps, step-selection functions, and memory in animal movement, as well as the dynamics of aquatic systems. Lewis has collaborated on projects analyzing the spread of diseases in wildlife populations and the ecological interactions that influence species dispersal. His recent work has included modeling the dynamics of chronic wasting disease in deer and predicting the effects of human behavior on the spread of COVID-19. He has published extensively in reputable journals, contributing significantly to our understanding of ecological dynamics through mathematical frameworks.

Research Interests

Experience

Kennedy Chair

— Present

University of Victoria • Victoria, BC, Canada

Position focused on research and education in the field of Mathematical Biology, specifically addressing ecological problems through mathematical modeling.

Requirements for University of Victoria

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
GRE General
Verbal
Required:130
Quantitative
Required:130
Analytical Writing
Required:0
Overall
Required:0
Prerequisites
BSc in Computer Science, Software Engineering or equivalent Background in Mathematics with emphasis on Computer Science
Application Checklist
  • Statement of Intent
  • Professional CV
  • Two assessment reports
  • Unofficial transcripts
Specialization Notes

Department: Department of Computer Science. GRE is highly recommended for international students.