FILIPPONE Maurizio

Teaching

He is currently Assistant Professor within the Department of Data Science where he teaches Advanced Statistical Inference.

Development of practical and scalable Bayesian inference methods for Gaussian Process-based statistical models.
Statistical methods for early stage diagnosis of neurological disorders based on neuroimaging data.
Bayesian inference in mechanistic models applied to systems biology.

Distinctions

In July 2018: ANR-JCJC Grant Award: "ECO-ML: Rethinking Modern Machine Learning Tools for a New Generation of Low-Power Large-Scale Modeling Systems" (2019-2021)
In April 2016, he has been awarded an AXA Chair position for the duration of 7 years from the AXA Research Fund (2016-2022)
In 2015, he reveived the "Special Mention" Poster Award for the poster "Scalable stochastic gradient-based inference for gaussian processes" (AMLGM 2015)
In 2010, he received an Award from the International Association of Pattern Recognition (IAPR) for the Best Paper published in the Journal "Pattern Recognition".