Marco Lorenzi

Marco Lorenzi is a tenured Research Scientist (CR) at University Côte d'Azur and Inria Sophia Antipolis, specializing in computational and statistical methods for biomedical data and brain image analysis.

His research focuses on Biomedical Data Analysis, Brain Imaging, and Bayesian Modeling, with emphasis on Uncertainty Quantification and Federated Learning for healthcare applications. He develops interpretable statistical learning models through probabilistic inference of dynamical systems and variational inference frameworks for multicentric brain imaging and genetics data, prioritizing compliance with secure data access protocols.

Lorenzi holds a Chairholder position at the 3IA (AI Institute) of University Côte d'Azur, advancing research in AI for Integrative Computational Medicine through his work on interpretable biomedical modeling and secure federated learning architectures.