Théophane Vallaeys
PHD Student at Meta
France
Summary
👤
Senior🎓
Top SchoolThéophane Vallaeys is a PhD student jointly at Meta and Sorbonne University specializing in computer vision and generative models, with a track record of research internships at Meta and contributions to neural compression and data-/compute-efficient multimodal models. With 10 years of experience, he combines strong theoretical foundations from ENS and Dauphine with practical research that advanced retrieval compression SOTA and proposed efficient adaptation mechanisms for pre-trained vision and language backbones. A competitive programmer since his teens—IOI silver medalist (2018) and multiple national and international contest winner—he brings exceptional algorithmic intuition to ML research and tooling. He has contributed to AutoML libraries (neps, metahyper), maintains active personal projects on GitHub (webalorn), and has a habit of turning contest-grade optimizations into scalable research gains.
10 years of coding experience
Diplome de l'ENS Sciences informatiques et de l''information et services apparentés, Diplome de l'ENS Sciences informatiques et de l''information et services apparentés at Ecole normale supérieureBaccalauréat MP, Baccalauréat MP at CPGE FaidherbeMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at Université Paris Dauphine - PSL
Stackoverflow
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0reached
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Github Skills (19)
neural-architecture-search10
deep-learning9
hyperparameter-optimization9
automl9
cpp9
chrome7
discord-bot4
python4
quantization4
discord3
discord-js3
typescript2
microkernel1
sticker1
blockly1
Programming languages (5)
Github contributions (5)
webalorn/competitive_snippets
Mar 2018 - Jan 2023
Snippets for competitive programming in C++
Contributions:29 commits, 19 pushes, 1 branch in 4 years 11 months
cpp
webalorn/scripts
Oct 2016 - Aug 2021
Contributions:11 pushes, 1 branch, 1 comment in 4 years 10 months
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