Aurélien Nicosia
Applied statistics, data science, and university teaching
Lecturer in mathematics and statistics at Université Laval in Quebec City. I develop teaching resources, R packages, and statistical methods at the intersection of rigorous analysis, visualization, and active learning.
Updates and highlights
Student support
GPT-CDA in ULaval News
On May 22, 2026, ULaval News published a story about GPT-CDA, a conversational assistant designed to support learning in mathematics and statistics at the CDA.
R software
Recent packages on CRAN
DonutMap, ggcircular, CircularRegression, and tutorizeR support statistical mapping, circular-data visualization, circular regression, and interactive tutorial creation.
Presentations
SSC 2026
I led a workshop on AI and teaching, contributed to a public teaching-resource gallery, presented work on LOO-LBFP, and received the 2026 New Investigator Presentation Award.
Publications
Animal movement
An article is published in Methods in Ecology and Evolution, and two bioRxiv preprints focus on behavioural-state inference and sequential predictive diagnostics for hidden Markov models of animal movement.
Site focus
Teaching
Courses in statistics, data science, and R programming grounded in practice, reproducibility, and scientific communication.
Research
Statistical methods for complex data, with emphasis on density estimation, multi-state models, circular data, and animal movement.
Software and resources
R packages, Quarto platforms, interactive tutorials, and open material supporting reproducible research and data science teaching.
This website gathers my research, teaching, and pedagogical innovation activities. It emphasizes verifiable resources, links to repositories or publications, and materials that can be reused directly.