About

Julien Bastian

PhD student in Computer Science

Since October 2024, I have been a PhD student in Computer Science at the Hubert Curien Laboratory, Université Jean Monnet in Saint-Étienne, where I am a member of the Machine Learning team. My research lies in the field of machine learning, with a particular focus on algorithmic fairness and PAC-Bayesian theory. I am interested in understanding how learning algorithms can be designed with theoretical guarantees while taking fairness-related constraints into account.

My PhD is supervised by Christine Largeron, Emilie Morvant, and Guillaume Metzler. The goal of my research is to study how PAC-Bayesian tools can contribute to the analysis and design of fair learning algorithms. More broadly, my work aims to connect theoretical machine learning with questions related to the fairness of predictive models.