Emmanuel D'angelo is a Director of Engineering based in Lausanne with ~15 years of deep expertise in image and signal processing, computer vision, and photogrammetry, who now leads teams building real-time data and AI platforms for sports at Genius Sports. He pairs hands-on algorithmic skills (C/C++, GPU, DSP, ASIC familiarity) and a PhD in image processing with senior product and people leadership across multicultural, multi-site R&D teams. His career spans academic research (EPFL) and industry impact at Pix4D, Occipital, Second Spectrum and others, shipping photogrammetry, tracking and broadcast augmentation systems. He focuses on creating collaborative, high‑ownership teams that deliver production-grade perception systems and explore how AI reshapes workflows. Less obvious: he brings practical experience deploying algorithms across the full hardware spectrum—from custom ASIC/DSP to GPGPU—giving him a rare end-to-end perspective on performance-constrained vision products. Constantly evolving his toolkit, he’s combining classical variational methods with modern deep learning and product management to turn complex visual data into usable products.
13 years of coding experience
20 years of employment as a software developer
Lycée Saint-Louis, Saint-Etienne
Master's degree, Applied Mathematics for Image processing and Machine learning, Master's degree, Applied Mathematics for Image processing and Machine learning at Ecole normale supérieure
Ecole Sainte-Geneviève
Doctor of Philosophy (Ph.D.), Electrical Engineering (Image Processing), Doctor of Philosophy (Ph.D.), Electrical Engineering (Image Processing) at EPFL
Master's degree, ATI-IS (Acquisition Traitement de l'Information - Imagerie Spatiale), Master's degree, ATI-IS (Acquisition Traitement de l'Information - Imagerie Spatiale) at ISAE-SUPAERO
Contributions:34 commits, 5 pushes in 7 years 8 months
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