François Darmon is a research engineer at Meta Zurich with a PhD in computer vision and roughly a decade of experience specializing in 3D reconstruction and deep learning. His work bridges rigorous academic research (École des Ponts ParisTech, ENS Paris-Saclay) and industrial research internships at Adobe and Thales, with practical implementations in Python and TensorFlow. At Meta he continues to translate cutting-edge neural rendering and 3D vision methods into scalable research systems, drawing on earlier credit-risk modeling and applied-math training for robust statistical thinking. Fluent across the research-to-production pipeline, he combines theoretical depth with hands-on engineering, and maintains an academic presence via his personal site. An uncommonly broad foundation—from Classe préparatoire at Lycée Louis‑le‑Grand to doctoral research—gives him both mathematical rigor and applied problem-solving instincts.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, MVA (Mathématiques, Vision, Apprentissage), Master of Science - MS, MVA (Mathématiques, Vision, Apprentissage) at École normale supérieure Paris-Saclay
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at École des Ponts ParisTech
Classe préparatoire, MPSI-MP*, Classe préparatoire, MPSI-MP* at Lycée Louis-le-Grand
Master of Science - MS, Applied mathematics, statistics and signal processing, Master of Science - MS, Applied mathematics, statistics and signal processing at Telecom ParisTech
Contributions:12 commits, 11 pushes, 1 branch in 4 months
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