Tom Le Paine
Staff Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolTom Le Paine is a Staff Research Scientist at Google DeepMind with 12 years of experience applying deep learning to vision and medical imaging problems, grounded in a PhD in Informatics from UIUC. His career includes internships at Google Brain and Google focused on deep learning infrastructure, hyperparameter optimization, and semi-supervised fine-grained recognition, and earlier work applying statistical analysis to medical images. Based in London, he blends rigorous academic training with production-minded research, moving ideas from experiments to large-scale systems. Notably, his background spans both biomedical engineering and core ML research, giving him a rare perspective on applied AI in healthcare and foundational model tooling.
12 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (BEng) Bioengineering and Biomedical Engineering, Bachelor of Engineering (BEng) Bioengineering and Biomedical Engineering at Arizona State UniversityDoctor of Philosophy (PhD) Informatics, Doctor of Philosophy (PhD) Informatics at University of Illinois Urbana-Champaign
Github Skills (19)
convolutional-neural-networks10
zap9
machine-learning9
oms8
dynamic-programming8
python8
deep-learning8
tensorflow8
liquid7
neural-network7
jekyll7
github-pages5
gymnasium5
q-learning4
reinforcement-learning4
Programming languages (2)
Github contributions (5)
ifp-uiuc/paper-repo
Sep 2014 - Sep 2014
Contributions:43 commits in 16 days
ifp-uiuc/anna
Sep 2014 - Oct 2015
This is a code repository to efficiently train a deconvolutional neural network with rectified linear units.
Contributions:1 release, 125 commits, 27 pushes in 1 year 1 month
deep-learningmachine-learninglinearunitsneural-network
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