Dr. Marie Ève Tremblay

Professor

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Biography

Dr. Marie-Ève Tremblay is a Professor and Canada Research Chair in Neurobiology of Healthy Cognitive Aging at the University of Victoria. Her research investigates cognitive aging, using both animal and human brain models to delve into the significance of microglial remodeling and synaptic elimination in the pathogenesis of brain disorders. She has developed extensive expertise in non-invasive brain imaging techniques, such as two-photon in vivo imaging and electron microscopy, to explore the physiological roles of immune cells throughout the lifespan. Dr. Tremblay previously served as an Associate Professor in Molecular Medicine at Université Laval, where she gained international recognition for her work, fostering diversity and inclusivity in academia. She obtained her Ph.D. in Neurological Sciences from Université de Montréal in 2009 and has held postdoctoral fellowships at esteemed institutions, including the University of Rochester and the University of Wisconsin-Madison. Her research also aims to discover therapeutic interventions to promote brain resilience and maintain cognitive functions amid challenges like chronic stress, depression, and neurodegenerative diseases. Throughout her career, Dr. Tremblay has acquired numerous grants and awards, reflecting her influential contributions to neuroscience and her commitment to advancing knowledge in neuroimmune interactions and cognitive health.

Research Interests

Experience

Professor

2015-01-01 — Present

University of Victoria • Victoria, BC, Canada

Leading research on brain aging and neuroimmune interactions.

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.