Simone Rossi
I am a Maître de Conférences (equivalent to a Assistant Professor) in the Data Science Department at EURECOM, developing scalable and principled methods at the intersection of Bayesian inference, probabilistic modeling, and deep learning.
I investigate methods that enable reliable and data-efficient learning in modern AI systems, and I study 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).
