Dr. Brian Christie

Professor

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Biography

Brian Christie is a Professor at the University of Victoria in the area of Neuroscience. His research focuses on understanding the mechanisms of neuroplasticity and its importance in improving brain health. Christie’s academic journey saw him earn a BSc and MSc from the University of Calgary before completing a PhD at the University of Otago. His post-doctoral work included significant research on synaptic plasticity and neurogenesis, with collaborations across various prestigious institutions. Christie has been instrumental in founding the Neuroscience Graduate Program and has played a lead role in translational research that spans preclinical to clinical studies, particularly concerning developmental disorders such as Fetal Alcohol Syndrome and its therapeutic interventions. Christie’s laboratory has received funds from major Canadian health research organizations to support vital work in brain health, including studies aiming to help individuals with neurological issues. Noteworthy contributions include insights into how exercise influences synaptic plasticity and researching cognitive enhancement approaches for both aging and brain injury rehabilitation. He collaborates widely, both nationally and internationally, emphasizing the need for integrative research tackling multifaceted neurological challenges.

Research Interests

Experience

Professor

2007-01-01 — Present

University of Victoria • Victoria, BC, Canada

Teaching and conducting research in Neuroscience, focusing on neuroplasticity.

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.