Gabriele Facciolo is a researcher and academic leader with 14 years of experience at the intersection of applied mathematics, computer vision and image processing, currently serving as Senior Member IUF Innovation Chair 2025 and Full Professor at École normale supérieure Paris-Saclay. He has driven technology transfer between academia and industry—leading image-denoising and quality projects at DxO and contributing a satellite stereo pipeline adopted by CNES—while supervising PhD research and teaching advanced mathematics and algorithms. His background in UNIX system administration and systems integration gives him practical expertise in deploying robust research software and operationalizing algorithms. Gabriele’s work blends rigorous mathematical foundations (PhD summa cum laude) with hands-on engineering, and he is known for improving staple methods like SGM for stereo matching and delivering denoising algorithms that outperformed the state of the art.
14 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), in Information, Communication and Audiovisuals Technologies, Summa cum Laude, Doctor of Philosophy (Ph.D.), in Information, Communication and Audiovisuals Technologies, Summa cum Laude at Universitat Pompeu Fabra
Master, Computer Sciences, Master, Computer Sciences at Universidad de la República
Contributions:9 commits, 1 PR, 11 pushes in 1 year 7 months
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Gabriele Facciolo - Senior Member IUF Innovation Chair 2025