Dr. Tolulope Sajobi

Professor

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Biography

Tolu Sajobi is a Professor at the Cumming School of Medicine at the University of Calgary, where he holds positions in the Department of Community Health Sciences and the Department of Clinical Neurosciences. He is the Academic Director of Equity, Diversity, and Inclusion Data Research Strategy and leads the Person-Centered Methods and Analytics lab. His research focuses on methodological applications in clinical research, particularly in measurement analysis of patient-reported outcomes, classification prediction methodologies for prognostic research, and designing randomized clinical trials. Sajobi has contributed to various areas including neuroepidemiology, neurology, cardiology, and orthopedics and has secured funding from organizations like the MSI Foundation and CIHR. Over his career, he has published more than 250 peer-reviewed articles and delivered around 100 conference presentations, establishing himself as a prominent biostatistician within both national and international health research networks.

Research Interests

Experience

Professor

2015-01-01 — Present

Cumming School of Medicine, University of Calgary • Calgary, AB, Canada

Full member of Hotchkiss Brain Institute and Libin Cardiovascular Institute, leading research in biostatistics and clinical decision support.

Awards

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Mid-Career Research Leader Award

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Outstanding Article of the Year Award

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Calgary's Top 40 Under 40

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GREAT Supervisor Award

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New Investigator Oral Presentation Award

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Vanier Graduate Scholar

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Graduating Honors Student

Courses

Models of Health Outcomes Biostatistics III

Requirements for University of Calgary

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:97
GRE General
Verbal
Required:150
Quantitative
Required:159
Analytical Writing
Required:5.5
Overall
Required:5.5
Prerequisites
4-year Bachelor's degree in Computer Science or equivalent 3rd or 4th year course in Theory of Computation 3rd or 4th year course in Software Engineering 3rd or 4th year course in Systems (OS, Compilers, Networking) 3rd or 4th year course in Application (AI, Graphics, Databases)
Application Checklist
  • Unofficial Transcripts
  • Curriculum Vitae
  • Statement of Purpose
  • Two Letters of Reference
Specialization Notes

Department of Computer Science Master's program. GRE scores are expected for international students.