معرفی
Maurizio Filippone is an Assistant Professor in the Data Science Department at Eurecom. He specializes in probabilistic machine learning, focusing on Bayesian inference methods for Gaussian processes, neuroimaging-based diagnostic tools for neurological disorders, and systems biology applications. His teaching includes Advanced Techniques of Statistical Inference.
Research interests center around three core challenges: scalable uncertainty quantification, model interpretability, and reducing energy consumption in machine learning workflows. His work bridges theoretical advancements with practical applications in healthcare and computational biology.
No specific awards or grants are listed in the provided text. While affiliated with the 3IA Chairholders program, details about labs, teams, or collaborative projects are not explicitly mentioned here.
