Emilien Dupont
Senior Research Scientist at Google DeepMind
California, United Kingdom
Summary
👤
Senior🎓
Top SchoolEmilien Dupont is a Senior Research Scientist at Google DeepMind with 11 years of experience bridging foundational machine learning research and applied science. He completed a PhD in Machine Learning at Oxford under Yee Whye Teh and Arnaud Doucet, with early industry-funded ties to DeepMind, and has interned at both DeepMind and Apple. His background spans physics and computational mathematics (Imperial College and Stanford), giving him a strong quantitative foundation for probabilistic modeling and scalable ML systems. At DeepMind he progressed from research roles to senior scientist, contributing to cutting-edge projects that sit at the intersection of theory and deployable AI. Based in California but internationally trained, he combines academic rigor with industry impact and a playful curiosity—his GitHub bio simply reads "Machine Learning is coolbeans," hinting at a lighthearted approach to serious research. Colleagues value him for turning complex probabilistic ideas into robust experimental systems.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of OxfordBachelor of Science (BSc) Physics and Theoretical Physics, Bachelor of Science (BSc) Physics and Theoretical Physics at Imperial College LondonMaster of Science (MS) Computational and Applied Mathematics, Master of Science (MS) Computational and Applied Mathematics at Stanford University
English, French, Danish, German, Spanish
Github Skills (63)
pytorch10
python10
fireworks10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
neural-network10
data-science9
visualization9
acceleration9
inpainting9
autograd9
interactive9
Programming languages (2)
Github contributions (5)
EmilienDupont/wgan-gp
Jan 2018 - Dec 2020
Contributions:7 commits, 6 pushes, 1 branch in 2 years 11 months
EmilienDupont/neural-processes
Apr 2019 - Feb 2022
Pytorch implementation of Neural Processes for functions and images :fireworks:
Contributions:11 commits, 2 PRs, 5 pushes in 2 years 9 months
pytorchdeep-learningfireworksneural-processespytorch-implementation
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