You will find below a compilation of teaching material that I created for use in various classes and seminars. You are very welcome to share and re-use this content while crediting me as the author (licence CC-BY).

Statistics for clinical trials

2022 - 2023

My activity as a biostatistician at the Grenoble-Alps University Hospital consists both in directly analyzing data obtained from clinical trials, and in counselling and teaching statistics to (future) health workers : interns and externs in pharmacy and medicine. The following documents are targeting this audience. They explore statistical questions centered around clinical trials, with a very pragmatic and informal tone. Most of the explanations rely on intuition that one can build around the simulation of the problem. Most of these documents rely on the R statistical programming language. They are, for now, only available in french.

• Analyses de survie avec événements compétitifs. CHUGA, Mars 2025.
• Analyses de survie et le jeu de donné associé. CHUGA, Mars 2025.
• Bases de statistiques Bayesiennes pour les essais cliniques et la présentation associée CHUGA, Avril 2024.
• Analyse d'un test diagnostic : sensibilité, spécificité, ROC ? CHUGA, Juillet 2023.
• Risk-Ratio (RR) et Odds-Ratio (OR) : quelle utilisation ? CHUGA, Juin 2023.
• Analyse de données binaires : proportions, test de Fisher, test du chi2 et régression logistique avec son jeu de données. CHUGA, Avril 2023.
• Analyse de données continues : T test, ANOVA, régression linéaire avec son jeu de données. CHUGA, Février 2023.
• Le test du chi2, couteau suisse du statisticien. CHUGA, Février 2023.
• Rôle des statistiques pour les essais cliniques : description, estimation, tests. CHUGA, Décembre 2022.

Classes and research seminars

2014 - 2021

My research activity allowed me to teach various subjects linked to evolutionary biology modelling. You can find below documents and presentations that can serve as a reservoir of figures and slides for future teaching material.

• Journal club on Gusfield's algorithm (1991) at ETH Zürich, 2021.
• Presentation on the use of an infinite allele model in phylodynamics at ETH Zürich, 2021.
• A series of three documents on the concept of exponential family and its use in phylogenetics: a summary document et the associated presentation, and the presentation of a research paper by Nicolas Lartillot using this concept. These three documents have been presented at ETH Zürich in 2020.
• Presentation on the inference of demography in phylodynamics under a birth-death model, presented at ETH Zürich in 2020.
• My PhD thesis as well as the presentation (in french) prepared for the the defense at the Collège de France in 2018. An english version (slightly different) has been created for use at ETH Zürich in 2018.
• Presentation on relaxed clock models in phylogenetics at the Collège de France, 2017.
• Poster on a relaxed molecular clock model presented at the MCEB conference (Mathematical and COmputational Evolutionary Biology) in 2017.
• Course on models of traits evolution for Master students at ENS, 2017.
• Presentation on continuous traits evolution models for interacting species presented at the conference of young researchers from the Natural Museum of Paris.
• Poster on the species concept in modelling work presented at the MMEE conference (Mathematical Models in Ecology and Evolution) in 2015.
• Journal club on species delimitation methods using genetic sequences at the Collège de France, 2015.
• Presentation on individual-based models in ecology/evolution for use with the Master students of the Ecole Polytechnique, 2015.
• Introduction to combinatorics on discrete trees in phylogenetics for the Maths-Bio working group at the ENS, 2015.

Mathematics and statistics for biologists (L3)

University Pierre and Marie Curie, 2015 - 2018

During my PhD in Paris, I have been teaching mathematics and statistics for L3 (bachelor) students in Biology. The curriculum was extremely ambitious for these students who had studied very few new concepts since they left high-school, and who often don't like mathematics. The following two documents have been developped to ease learning.

• a summary document of key concepts that they need to understand and use during the course.
• a cheat-sheet with formulas corresponding to the "statistics" part of this course.

Informatics in BCPST

Lycée Henri 4, 2014 - 2015

BCPST preparatory classes students (Biology Chemistry Physics and Earth Sciences) learn informatics during the first and second year. The aim at the time was to introduce the students to basic programming concepts (variables, conditional statements, loops) and to algorithmic thinking (list sorting, graph exploration, ...). During the first year, TDs were meant to practice on a computer, and learn how to solve simple problems using the Python language.
This cheat-sheet was used to give a quick access to basic Python syntax.

During the second year, students had to prepare two projects that the had to present in front of a jury for the final competitive exam. This is the perfect opportunity to combine biology and informatics/modelling work !
This document draws up a list of projects that students at the Henri 4 high school could work on in 2014-2015:

• Evolution of allelic frequencies in a population
• Alignement of two genetic sequences
• Compartment models in epidemiology
• Objects delimitation on a picture
• Spread of an epidemic modelled by a percolation through a matrix
• Genealogical relationships in a Wright-Fisher model.