Thibault Groueix
Research Scientist at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolThibault Groueix is a research scientist with 11 years of experience specializing in large-scale AI models for 3D shape and scene generation, currently based in San Francisco and working at Meta. His track record includes multiple research roles at Adobe and NAVER LABS Europe, where he helped pioneer neural surface representations (AtlasNet) that enable single-image mesh synthesis and scalable 3D generation. He holds advanced training from École Polytechnique, ENS Paris-Saclay (Machine Learning) and a PhD in Computer Science from École des Ponts ParisTech, combining strong theoretical grounding with practical system-building. Thibault blends deep learning, computer graphics and real-time rendering expertise—skills first developed during internships on steerable CNNs and GPU-accelerated global illumination—and applies them to training and deploying large models. An active researcher with industry impact, he also maintains code repositories and reproducible research on Bitbucket, reflecting a preference for open, engineering-first research.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree, Machine Learning, Master’s Degree, Machine Learning at École normale supérieure Paris-SaclayDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École des Ponts ParisTechEcole polytechnique
English, Spanish, French
Stackoverflow
1reputation
165reached
0answers
1question
Github Skills (138)
python10
image-processing10
connectivity10
deep-learning10
gpu10
gpu-acceleration10
mesh10
acceleration10
autoencoder10
numpy10
siggraph10
convex-hull10
neural-network10
computer-vision10
tensor10
Programming languages (7)
Github contributions (5)
ThibaultGROUEIX/useful-computer-vision-phd-resources
Aug 2019 - Nov 2021
Lists of resources useful for my PhD in computer vision
Contributions:13 commits, 13 pushes, 1 branch in 2 years 3 months
visiondeep-learningcomputer-visionlistsphd
jiangzhongshi/3D-CODED
Jun 2018 - Jul 2018
Pytorch Implementation for the project : 3D-CODED : 3D Correspondences by Deep Deformation"
Contributions:53 commits in 1 month
pytorchdeep-learningcomputer-visionpytorch-implementationdeformation
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