Teaching
Teaching philosophy
I approach mathematics, statistics, and data science teaching as an activity of understanding, practice, and communication. Courses are designed to help students produce reproducible analyses, justify their choices, and explain their results clearly.
Active learning
Classes emphasize hands-on work, applied situations, and projects where statistical concepts are used in concrete contexts.
Reproducibility
Activities use R, Quarto, GitHub, and explicit project structures so that reasoning, code, and results can be checked.
Support
Exercises, formative feedback, course assistants, and CDA resources support autonomy while preserving the central role of student understanding.
Courses taught
Université Laval
Data science
STT-1100 - Introduction to Data Science
Introductory course centered on professional situations where students take on a data science role. The course covers the analysis cycle, from data import to communication of results.
Scientific programming
STT-4230 - R for Scientists
Course focused on development practices: project structure, documentation, tests, collaboration, and publication with GitHub.
Applied statistics
STT-2200 - Data Analysis
Applied statistics course where students work from real datasets and produce reproducible reports.
Université du Québec à Chicoutimi
8INF404 - Introduction to Data Science and Business Intelligence
Interdisciplinary course presenting the full data science project cycle: preparation, exploration, predictive modeling, and communication.
8INF416 - Visualization and Interface
Course devoted to interactive visualization and scientific communication with R, Shiny, and ggplot2.
8STT108 - Statistical Methods for Big Data
Introduction to statistical methods for large datasets, with emphasis on model logic before automation.
Teaching recognition
I received the Star Teacher Award again in 2026. This recognition adds to the 2014, 2023, 2024, and 2025 editions listed in my CV. The Faculty of Science and Engineering describes this title as a recognition given to instructors who receive excellent student evaluations.