Guénolé Fiche
Research Scientist at NAVER LABS Europe
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolGuénolé Fiche is a research scientist at NAVER LABS Europe specializing in human-centric computer vision, with a 2024 PhD from CentraleSupélec on leveraging latent representations from generative models for 3D human pose and shape estimation. Over nine years of experience span academic research, industry internships, and teaching, combining deep learning, weakly supervised methods, and a strong mathematical foundation from INSA Rouen. He has collaborated with leading groups across Europe, including visits to IRI and advice from INRIA researchers, reflecting a track record of cross-institutional research exchange. His background includes practical CV work in detection and tracking as well as NLP and materials-focused deep learning, showing versatility across domains. Based in Paris, he blends theoretical rigor with applied prototyping, often exploring how generative priors can reduce supervision needs in real-world vision tasks. An intriguing thread through his career is the fusion of formal geometry teaching and hands-on model implementation, giving him a rare perspective on both mathematical foundations and deployable ML systems.
9 years of coding experience
Engineer, Mathematics and computer science, Engineer, Mathematics and computer science at Institut national des Sciences appliquées de RouenPhD, Artificial Intelligence, PhD, Artificial Intelligence at Centrale Supélec
French, English, Spanish
Github Skills (63)
javascript10
whisper10
evm10
metadata10
solc10
api10
web3js10
ethereum10
blockchain10
swarm10
javascript-api10
typescript9
p2p9
firefox8
go8
Programming languages (7)
Github contributions (5)
ethereum-pocr/kerleano
Apr 2022 - Mar 2023
Information on the Kerleano test network
Contributions:1 review, 14 commits, 3 PRs in 11 months
blockchainclimateethereum
ethereum-pocr/pocrnet
Nov 2022 - Jan 2023
Contributions:7 commits, 9 pushes, 1 branch in 2 months
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