Teaching
2026-now Bayesian Analysis in PhD program, ESSEC Business School,
2022-now Business Statistics & Analytics in Master in Management, ESSEC Business School
2024-2025 Forecasting and Predictive Analytics in Bachelor of Science in AI (AIDAMS), ESSEC & CentraleSupélec
2023 & 2024 Optimization-Conscious Econometrics Summer School at the University of Chicago
2021-2024 Forecasting and Predictive Analytics in Master in Data Science (DSBA), ESSEC & CentraleSupélec
2021-2022 Forecasting and Predictive Analytics in Master in Management, ESSEC Business School
2020-2021 Stat 248: Couplings and Monte Carlo, Harvard University.
2019-2020 Couplings and Monte Carlo as one-off doctoral course at Université Paris Dauphine, the University of Bristol and the University of Torino.
2018-2019 Stat 317: Computational Optimal Transport, Harvard University
2015-2019 Stat 213: Statistical Inference II, Harvard University
2015-2019 Stat 131: Time series and prediction, Harvard University
2016-2017 Stat 317 / CS282R: Bayesian nonparametrics with Finale Doshi-Velez, Harvard University
2015-2016 Stat 317: Particles in Statistics, Harvard University
2013-2015 Advanced Simulation, MSc / Part C, University of Oxford