Public courses, ebooks, and learning platforms. For the full teaching record, see the CV.
Open online course on mathematical intuition, approximation, and optimization, designed for a broad audience.
With Prof. H. Duminil-Copin & Dr. M. Karemera (project lead) · supported by the University of Geneva Rectorate
Graduate course on data science with Python — pandas, exploratory analysis, visualization, statistical inference (t-tests, ANOVA), and linear regression.
First undergraduate course in statistics — probability, random variables, distributions, estimation, confidence intervals, and hypothesis testing. Built around an AI-powered interactive learning platform.
With Dr. M. Karemera, Dr. S. Orso, L. Voirol & S. Feser · visit the platform →
Graduate-level course on statistical methods for pharmaceutical sciences. Hands-on, built around real-world examples and an interactive learning platform based on real data.
With Prof. D.-L. Couturier & Dr. Y. Zhang · course materials →
Graduate course on the generalized method of wavelet moments (GMWM), with applications to sensor fusion and inertial navigation. Also serves as an introduction to the GMWM R package.
With Dr. D. A. Cucci & Prof. J. Skaloud · course website →
Graduate-level ebook on time series methods with R, with a focus on practical implementation and worked examples.
With Prof. R. Molinari, Prof. H. Xu & Dr. Y. Zhang · read online →