| Course and links | Institution & program | Years |
|---|---|---|
| Introductory macroeconomics | Ecole Normale Supérieure de Lyon | 2024 - present |
| Financial macroeconomics: C-CAPM, Extreme risks, Heterogeneous agents, Degrowth & sustainability | Ecole Normale Supérieure de Lyon | 2024 - present |
| Finance & data analysis (ML) in R: fraud detection, credit scoring, time-series and crypto | emlyon business school, MSc. in Data Science & AI Strategy | 2022 - present |
| Green finance: concepts & quantitative methods | emlyon business school, Master in Management | 2022 - present |
| Machine Learning for Factor Investing | emlyon business school, MSc. in Finance | 2019 - present |
| Dynamic Dashboards with Shiny | emlyon business school, Master in Management, emlyon MSc Digital Market & Data Science | 2018-2025 |
| Crash course on climate change + finance (notebook on energy-emissions-economy-environment & notebook on sustainable investing) | emlyon business school, Master in Management | 2021 |
| Machine Learning for Factor Investing | Imperial College Business School, MSc. in Finance | 2019 |
| Introduction to statistics with R | emlyon business school, Master in Management | 2018 |
| Non-Gaussian processes in finance | emlyon business school, Master in Quantitative Finance | 2018 |
| Introduction to big data and business analytics | Montpellier Business School, Master of Management | 2015-2017 |
| Numerical methods in finance | Univ. Paris I Pantheon-Sorbonne, Master of Market Finance | 2008-2010 |