Charlie Nash
Research Scientist at OpenAI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolCharlie Nash is a research scientist focused on generative models, approximate inference and deep learning, currently working on 3D shape modelling for computer vision at OpenAI. With 11 years of industry and research experience—including multi-year research roles at DeepMind and internships at Microsoft—he blends rigorous academic training (first-class BSc and a Data Science MSc from the University of Edinburgh) with applied research that bridges vision and probabilistic modelling. He has co-founded a startup, bringing product-minded entrepreneurship to his technical work, and has a track record of translating advanced inference techniques into practical vision systems. Based in London, he combines deep mathematical grounding with hands-on implementation experience across top AI labs, and is pursuing research that targets real-world 3D understanding rather than only benchmark gains.
11 years of coding experience
6 years of employment as a software developer
Master’s Degree, Data Science, Master’s Degree, Data Science at The University of Edinburgh
Github Skills (12)
neural-network10
machine-learning10
deep-learning10
tensorflow10
iterative10
python10
data-science10
ml10
closest10
deep-neural-networks9
matlab9
energy3
Programming languages (2)
Github contributions (5)
charlienash/nricp
Oct 2015 - Apr 2018
Contributions:25 commits, 1 PR, 21 pushes in 2 years 5 months
closestmatlabiterativepointiterative-closest-point
charlienash/charlienash.github.io
Aug 2015 - Jan 2019
Contributions:335 commits, 332 pushes, 1 branch in 3 years 4 months
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