Profile
I am a lecturer in mathematics and statistics in the Department of Mathematics and Statistics at Université Laval, in Quebec City. I also coordinate the Center for Tutoring and Learning in mathematics and statistics, a student success support service for several departmental courses.
I hold a PhD in Statistics from Université Laval (2024). I develop diagnostics and uncertainty quantification methods for latent-state models, directional data and density estimation. My work combines statistical methodology, simulation, visualization and reproducible R software.
Before my current appointment, I worked as a statistical consultant at Université Laval (2014-2017), Data Science Manager at GSK Canada (2017-2020), and Director of Research and Analytics Innovation at Co-operators (2020-2022). I have also taught at UQAC since 2021. These experiences inform my approach to collaboration, training and traceable analysis.
My teaching covers statistics, probability, data science and programming, as well as graduate project management in French and English. I emphasize understanding methods, reproducibility and human support.
Full experience and downloadable CVs
Teaching
Course design in statistics, data science, and R programming, with emphasis on active learning, realistic case studies, and reproducible reporting.
Research
Development of methods and software for density estimation, multi-state models, circular data, hidden Markov models, and animal movement analysis.
Digital tools
Creation of R packages, Quarto platforms, interactive tutorials, and open resources supporting reproducible research and data science teaching.
Educational innovation
Careful integration of digital tools and conversational assistants into supervised learning settings, with human support remaining central.
Recent highlights
- Development of GPT-CDA, featured in ULaval News on May 22, 2026.
- Publication of Beyond the next step: A multi-criteria generative validation framework for step selection functions in Methods in Ecology and Evolution.
- Release of recent R packages on CRAN, including GLBFP, DonutMap, ggcircular, CircularRegression, and tutorizeR.
- Workshop on AI and teaching at SSC 2026, accompanied by a public teaching-resource gallery.
- 2026 New Investigator Presentation Award at SSC 2026 for a presentation on LOO-LBFP.
Contact
About this site
This website is built with Quarto and deployed with GitHub Pages. It gathers my research, teaching, software development, and educational innovation activities. The source repository is available from the navigation bar.
Corrections and suggestions are welcome through the GitHub interface of the site or by email.