CV

Research intern

CentraleSupélec

• Development of a tree-based conformal prediction algorithm for individual treatment effect estimation.
• Exploration of uncertainty quantification methods providing fast approximate conditional guarantees.

Research intern

CentraleSupélec

• Developed Bayesian Gaussian mixture models to characterize heterogeneous cardiovascular risk in pediatric cancer survivors.
• Implemented MCMC inference algorithms for parameter estimation and uncertainty quantification.
• Presented at the AppliBUGS workshop and accepted to the annual meeting of the French statistics society (SFDS)

PhD

CentraleSupélec

Machine learning and statistics

Engineering degree

ENSTA Paris

Mathematical engineering

• Probability, Statistics, Machine learning, Reinforcement learning, Optimization, Numerical analysis

Master's degree

Institut Polytechnique de Paris

Mathematics of life sciences

• Brain computer interfaces, Causal inference, Biology