Serves as a Maître de Conférences (equivalent to an Assistant Professor) in the Data Science Department at EURECOM; research focuses on real-world applications such as autonomous driving.
Background
Research interests lie at the intersection of Bayesian inference, probabilistic modeling, and deep learning; focused on developing reliable and data-efficient methods for modern AI systems; studies how uncertainty, structure, and inductive bias can be encoded in machine learning models to improve robustness, scalability, and interpretability across diverse real-world applications (e.g., autonomous driving).