Teaching
My teaching activities span diverse topics, including statistics, machine learning, R programming, and data analysis, across various levels (bachelor, master’s, and PhD) and disciplines (mathematics, engineering, social sciences, agronomy, geography, and health). I have delivered courses on topics such as causal inference, (un)supervised learning, missing values, and experimental design at institutions like École Polytechnique, EHESS, Agrocampus Ouest, and Stanford. I’ve also developed hands-on labs, data challenges, and training programs for companies emphasizing practical applications of statistical methods. Beyond teaching, I have coordinated master’s programs, supervised student internships, and served on departmental and teaching committees. Tutorials.