AI for Health Summit 2024

ML

Marco Lorenzi

Inria

Researcher

Description

Marco Lorenzi is an Inria researcher specialised in computational and statistical methods for the analysis of biomedical data and brain images. His current research topics include Bayesian modeling and uncertainty quantification, time-series analysis, latent variable models, and federated learning.

All Sessions

Loading