Teaching

Course Lecturer – EPIB 507: Biostatistics for Health Sciences (Fall 2026)

Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada.

• Instructor responsible for a 3-credit course for students in health sciences.
• Theoretical and practical instruction covering:
  • Probability, distributions, and descriptive statistics;
  • Estimation, confidence intervals, and hypothesis testing;
  • Inference on means and proportions, ANOVA, and chi-square tests;
  • Correlation, simple and multiple linear regression;
  • Statistical programming and data analysis using R.
• Development and revision of teaching materials, written examinations, and practical R examinations.
• Supervision of group projects focused on critical analysis and presentation of scientific articles or public datasets.

Doctoral Teaching Instructor in Mathematics – University Institute of Technology, Mechanical Engineering and Manufacturing (2021–2024)

• Taught mathematics to first-, second-, and third-year undergraduate students through lectures, tutorials, and practical sessions.
• Subjects taught:
  • Calculus and differential and integral analysis;
  • Applied linear algebra;
  • Probability and statistics;
  • Numerical methods and optimization;
  • Algorithms and numerical modeling.
• Teaching in French and English.
• Designed, adapted, and translated teaching materials (lectures, exercises, and practical sessions).

Volunteer Tutor – Ouverture Rencontres Évolution (ORE) Association (2014–2021)

• Provided academic tutoring in mathematics, science, and French to middle and high school students.
• Developed an introductory course in Python and algorithms.