Teaching

Ongoing courses

2021–present, Sorbonne Université, ISUP.
Poisson process and spatial point processes (lectures, 30h/year).
2016–present, Université Paris Sud, MSc Research in public health.
Introduction to time series analysis (lectures, 6h/year; and practicals, 12h/year).

Medicine-sciences program to bring select candidates to degrees in both medicine and another academic field, towards research.
In charge of outlining the refresher courses in mathematics for students enrolled from medical formation.
Tutoring of students majoring in maths enrolled from medical formation.

Core curriculum of statistics, 2nd year (lectures/tutorials/practicals, 80h).
Topics: Principal component analysis — Multiple linear regression — AN(C)OVA — Project monitoring.
Core curriculum of statistics, 1st year (tutorials, 45h).
Topics: Maximum likelihood estimation — Confidence intervals — Hypothesis tests — Simple linear regression.
Support sessions for parallel admission students (15h).
Generalised linear model and unsupervised classification (practicals, 6h).

Core curriculum of statistics, 1st year (tutorials, 45h/year).
Topics: Maximum likelihood estimation — Confidence intervals — Hypothesis tests — Simple linear regression.
Introduction to R and to linear regression models (practicals, 18h/year).

2016–2019, Institut Pasteur, Tutorials for researchers.
Introduction to biostatistics (15h).
2017–2019, MATh.en.JEANS, Collège la Rose Blanche.
Initiation and sensibilisation of secondary school students to research in mathematics (24h/year).
2015–2016, Lycée Montaigne, Preparatory classes for “Grandes Ecoles”.
Examiner for oral interrogations in mathematics (64h).