Summary
Riccardo De Lutio is a Senior Research Scientist at NVIDIA with a decade of experience specializing in 3D computer vision and neural reconstruction. He completed a PhD in Computer Vision at ETH Zürich and progressed through research roles and internships across top labs including EPFL, Imperial College, and Bonn University, bringing strong theoretical grounding to applied AI problems. At NVIDIA he’s worked in Sanja Fidler’s Toronto AI Lab and now in the Spatial Intelligence Lab, contributing to cutting-edge spatial and scene understanding research. His background blends physics and machine learning, which informs a principled approach to noisy, real-world data and reconstruction tasks. Outside his primary focus, he has applied ML to global health problems early in his career, adapting clinical algorithms for fever diagnosis in African contexts. Based in San Francisco, he combines academic rigor with production-minded research at industry scale.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MSc), Computing, Specialism in Machine Learning, Master of Science (MSc), Computing, Specialism in Machine Learning at Imperial College London
Baccalauréat, S, Baccalauréat, S at Lycée Vauban
Summer Course, Number Theory, Summer Course, Number Theory at Brown University
Course, Mathematical challenges at bachelor level, Course, Mathematical challenges at bachelor level at University of Luxembourg
Summer Course, Sustainable Engineering and Architecture, Summer Course, Sustainable Engineering and Architecture at Yale University
Bachelor of Applied Science (BASc), Physique, Bachelor of Applied Science (BASc), Physique at EPFL
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at ETH Zürich
French, Italian, English, Spanish, German