Riccardo Finotello is a research engineer at CEA with nine years of experience at the intersection of physics, mathematics and AI, holding a PhD in Physics and Astrophysics from Università di Torino. He develops mathematically grounded methods for hyperspectral image segmentation and compacts deep networks via tensor-based compression to preserve core information in resource-constrained models. His work spans data acquisition to analysis, applying machine and deep learning to reveal geometric structures in physical and mathematical systems. Based in Saclay, he combines strong theoretical training and hands-on engineering from postdoctoral spectroscopy projects to production-oriented AI research. An accomplished musician trained in piano and violin, he brings a nuanced, pattern-focused perspective to model design and data interpretation.
9 years of coding experience
5 years of employment as a software developer
Scientific diploma, High school (Liceo), 100/100, Scientific diploma, High school (Liceo), 100/100 at Liceo Scientifico
Doctor of Philosophy - PhD, Physics and Astrophysics, Doctor of Philosophy - PhD, Physics and Astrophysics at Università degli Studi di Torino
Istituto Superiore di Studi Musicali "Franco Vittadini" di Pavia
Contributions:56 pushes, 2 branches in 3 years 6 months
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