Teaching
CentraleSupelec
EI AP-HP
Lecture • Bachelor's level • 2024 - 2026
Practical introduction to real-world healthcare data, covering key challenges such as patient deduplication, introductory biostatistics, and natural language processing (NLP) techniques to extract variables from clinical notes. Emphasis is placed on understanding data structure, analysis methods, and biases in observational studies.
Statistics and Learning
Tutorial • Bachelor's level • 2024
- Statistical inference: point estimation, asymptotic distributions, confidence intervals, Hypothesis testing and Bayesian estimation
- Statistical learning: Linear regression, logistic regression, regularization, model selection and unsupervised learning.
Sorbonne University
Machine Learning for Health
Tutorial • Master's level • 2024-2026
Introduction to named entity recognition (NER) in healthcare, covering both rule-based approaches and deep learning techniques.
DU-REPSE Mathematics
Lecture • Bachelor's level • 2025-2026
Diplôme Universitaire de Retour aux Études Supérieures des Personnes Exilées (DU RESPE) is a a bridging program designed to support exiled individuals transitioning from high school to university in France. The course covered core subjects such as functions, trigonometry, calculus, and probabilities through lectures, exercises, and assessments.
Data Analysis
Lecture • Bachelor's level • 2025-2026
Introductory lecture on data analysis, covering the manipulation of dataframes with pandas, descriptive statistics, and basic image analysis. The final project involved extracting features from images and using them for prediction tasks with machine learning models such as linear regression, decision trees, and random forests.
French Guyana University
Mathematics
Lecture • Bachelor's level • 2024
Mathematics lecture for first-year university students covering foundational topics such as sequences, integrals, matrix calculus, series, and summations.