Arthur Gretton
Research Scientist at Google DeepMind
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolArthur Gretton is a research scientist and professor at UCL’s Gatsby Computational Neuroscience Unit, now also working at DeepMind, with over a decade of experience applying kernel methods to statistical inference and structured data problems. His work develops nonparametric tools for dependence testing, dataset matching and graphical-model inference, enabling practical solutions such as automatic attribute matching across databases and cross-lingual text relation measures. Trained with a PhD in Machine Learning from Cambridge and dual undergraduate degrees in engineering and physics, he blends deep theoretical insight with long-standing empirical research at institutions including Max Planck and Carnegie Mellon. Less obvious: his career bridges pure computational neuroscience and applied machine learning, translating mathematically sophisticated methods into tools that address real-world data-integration and inference challenges.
11 years of coding experience
10 years of employment as a software developer
Australian National UniversityDoctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at University of Cambridge
Github Skills (5)
data-science2
probabilistic2
probabilistic-models2
machine-learning2
probabilistic-programming1
Github contributions (5)
fatflake/GP-select
Feb 2015 - Jan 2017
Contributions:6 pushes in 1 year 11 months
kacperChwialkowski/mcmc
Feb 2016 - Aug 2016
Contributions:33 pushes in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.