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 University. 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.