Arthur Douillard
Staff Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolArthur Douillard is a Staff Research Scientist based in London with a decade of experience pushing the boundaries of distributed learning at Google DeepMind. He leads large-scale training efforts and was lead author on DiLoCo and DiPaCo, focusing on distributed learning, continual learning, and LLM efficiency. Arthur has managed teams of ~10 engineers while architecting systems that train models across huge global clusters, blending deep research with pragmatic engineering. He also teaches advanced deep learning to masters students, maintaining a freely available course that attracts over 10k monthly visitors and practical Colab exercises. His background spans industry and academia—from speeding production CV models at Heuritech to PhD-level AI research at Sorbonne—giving him a rare mix of production optimization and novel algorithmic work. Colleagues would note his knack for turning exotic research into scalable training pipelines that materially reduce training and inference costs.
10 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at Hanyang UniversityBaccalauréat Série Scientifique, Baccalauréat Série Scientifique at Les Francs-BourgeoisClasse préparatoire aux grandes écoles Mathématiques et informatique, Classe préparatoire aux grandes écoles Mathématiques et informatique at Lycée Fénelon Sainte-MarieEngineer's degree - (eq. MS of Science) Computer Science / Machine Learning, Engineer's degree - (eq. MS of Science) Computer Science / Machine Learning at EPITA: Ecole d'Ingénieurs en InformatiquePhD student Artificial Intelligence, PhD student Artificial Intelligence at Sorbonne University
French, English, Spanish, Chinese
Stackoverflow
23reputation
720reached
0answers
1question
Github Skills (85)
python10
data-loading10
deep-learning10
slide10
statistics10
audio10
computer-vision10
jax10
cifar10010
data-science10
ghost10
anki10
tensorflow10
dataloader10
data-analysis10
Programming languages (6)
Github contributions (5)
arthurdouillard/incremental_learning.pytorch
Aug 2019 - Jul 2021
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
Contributions:79 commits, 1 PR, 47 pushes in 1 year 11 months
ghostincremental-learninglifelong-learningcontinual-learningdeep-learning
arthurdouillard/deepcourse
Dec 2020 - Dec 2021
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
Contributions:84 commits, 3 PRs, 54 pushes in 11 months
ankicomputer-visiondeep-learningpytorch
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