Théo Ladune
Research Engineer - Video Coding & IA at Orange
Rennes, Brittany, France
Summary
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Senior🎓
Top SchoolThéo Ladune is a research engineer at Orange Innovation with eight years of experience specializing in deep learning–based image and video coding, grounded in a PhD in signal processing. He designs novel neural compression schemes that aim to outperform traditional codecs, translating academic research into applied solutions within a large industrial R&D context. Earlier work spans acoustic room-geometry estimation and embedded-systems projects, showing a knack for multidisciplinary signal-processing problems. A top-of-class graduate from INSA Rennes, he combines rigorous theoretical grounding with hands-on prototyping and has presented research at domain conferences. Based in Rennes, France, he brings both long-term curiosity about sensing and compression and practical experience deploying learning-driven approaches inside corporate innovation teams.
8 years of coding experience
1 year of employment as a software developer
Baccalauréat Scientifique, Mention très bien - 20/20 en Mathématiques et Physique-Chimie, Baccalauréat Scientifique, Mention très bien - 20/20 en Mathématiques et Physique-Chimie at Lycée Jean François Millet - CherbourgMaster's degree, Electronics & Computer Engineering, Head of Class, Master's degree, Electronics & Computer Engineering, Head of Class at INSA Rennes - Institut National des Sciences Appliquées de RennesPh. D., Signal Processing, Ph. D., Signal Processing at Université de Rennes 1
French, English, Spanish
Github Skills (6)
video-compression10
image-compression9
coding8
pytorch8
deep-learning7
neural-network6
Programming languages (2)
Github contributions (5)
Orange-OpenSource/Cool-Chic
Mar 2023 - Apr 2025
Low-complexity neural image & video codec.
Contributions:8 releases, 6 PRs, 139 pushes in 2 years 1 month
deep-learningimage-compressionneural-networkpytorchvideo-compression
Orange-OpenSource/AIVC
Jun 2021 - Feb 2022
AIVC is a fully-learned video codec. It is able to code video sequences at different rates and it features tunable coding configurations.
Contributions:70 commits, 58 pushes, 3 branches in 8 months
end-to-end-compressionpytorchvideo
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