Summary
Monireh Safari is a PhD-level computer scientist and teaching-focused researcher based in Waterloo with a decade of experience at the intersection of bioinformatics, machine learning, and deep learning. She combines hands-on research roles—Graduate Research Assistant at Waterloo and past R&D internships at the Vector Institute and Princess Margaret Cancer Centre—with extensive teaching support in logic, computation, and biomedical image analysis. Her academic record is distinguished (top scores in PhD and MSc programs) and she has a track record of translating advanced ML methods into biomedical research settings. Equally comfortable mentoring students and developing research-grade models, she brings both rigorous theoretical grounding and practical experience in applied AI for health. An often-overlooked strength is her continuity across educational systems and industries, enabling clear communication between clinicians, students, and technical teams.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Bioinformatics, 19.84/20, Master's degree, Bioinformatics, 19.84/20 at Sharif University of Technology
Amirkabir University of Technology
High School Diploma, Mathematics, High School Diploma, Mathematics at Farzanegan 6 high school
Doctor of Philosophy - PhD, Computer Science, 95/100, Doctor of Philosophy - PhD, Computer Science, 95/100 at University of Waterloo
English, Persian