I am working in the Uncertainty and data science group of LNE, the French National Metrology Institute. My research focuses on probabilistic methods for machine learning, combining uncertainty quantification, deep probabilistic models, Bayesian inference and optimal design for computer experiments, with real-world applications in computer experiments, live sciences, image analysis and mechanical engineering.
I was previously a research assistant in the machine learning group of EURECOM with Prof. Maurizio Filippone. I obtained my PhD from the Bern mathematical statistics group (Prof. David Ginsbourger), jointly with Centrale Marseille and funded by the National Expert Service in Nuclear Safety.
I tought Gaussian Process models and supervised student projects in data science within Maurizio Filippone’s course on Advanced Statistical Inference.