Teaching

Ongoing courses

• 2023–present, ENSAI, MSc Biostatistics.
  Causal inference (lectures, 18h/year).

• 2021–present, Université Paris Dauphine, Executive Master Statistique et Big Data.
  Introduction to advanced R tools: tidyverse, ggplot2, shiny, torch (lectures, 6h/year).

Past teaching experiences

MSc Research in public health, Université Paris Saclay, 2016–2024

• Introduction to time series analysis (lectures, 6h/year; and practicals, 12h/year).

M1 Actuariat / Data Science, ISUP, Sorbonne Université, 2021–2024

• Poisson processes and spatial point process analysis (lectures, 30h/year).

Graduate Program Averroes, Université Paris Saclay, 2020–2023

• 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.

Adjunct teacher, ENSTA, 2019–2022

• Core curriculum of probabilities, 1st year (tutorials, 15h/year).

• Core curriculum of statistics, 1st year (tutorials, 15h/year).

ATER, AgroParisTech, 2019–2020

• 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).

Teaching assistant, AgroParisTech, 2016–2019

• 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).

Others

• 2023–2024, Sorbonne Université, ISUP.
  Introduction to multivariate data analysis (lectures, 12h).

• 2022–2023, Université Gustave Eiffel, Master Maths-Info.
  Poisson process and spatial point processes (lectures, 16h).

• 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).