Dr. Mary Lesperance

Professor

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Biography

Mary Lesperance is a professor of statistics at the University of Victoria, where she specializes in developing complex mathematical models and innovative statistical tools capable of analyzing large, complex data sets. As the founding director of UVic's Statistical Consulting Centre, she provides statistical advice to both internal and external clients. Lesperance is involved in several significant research projects, including a large-scale initiative aimed at developing a rapid diagnostic tool to assist emergency room physicians in differentiating between transient ischemic attacks and benign conditions like migraines. She collaborates with molecular biologists on projects exploring the effects of contaminants on biological development and has created a practical nomogram tool for palliative care clinicians to help predict a patient's remaining lifespan. Her research interests include statistical inference, biostatistics, industrial statistics, and the development of semiparametric mixture models, which are designed for analyzing complex data sets arising from modern technological advancements.

Research Interests

Experience

Professor

2000-01-01 — Present

University of Victoria • Victoria, BC, Canada

Professor of statistics specializing in the development of statistical tools and models.

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.