Olivier Lefebvre is a Ph.D. student in computer science since 2021. His research focuses on federated learning and differential privacy. The goal of his project is to evaluate the impact of these methods on the performances obtained by a prediction model. He is also working on the development of new metrics to quantify the uncertainty of a model during each prediction performed.