Chair holder | Maurizio Filippone



Maurizio Filippone (Eurecom)


Short bio

Maurizio Filippone is an Assistant Professor in the Data Science Department of Eurecom, where he teaches Advanced Techniques of Statistical Inference. His research interests are: development of practical and evolutionary Bayesian inference methods for process-based Gaussian statistical models, statistical methods for early diagnosis of neurological disorders based on neuroimaging data and bayesian inference in mechanistic models applied to systems biology.


Research topic | Probabilistic machine learning 

Probabilistic machine learning offers a principled framework for quantification of uncertainty across various sciences. The Chair will tackle three major modeling and computational issues: (i) the need to develop practical and scalable tools for accurate quantification of uncertainty, (ii) the lack of interpretability, and (iii) the unsustainable trend in energy consumption.