Sebastian Farquhar
Research Scientist at DeepMind
Greater Oxford Area United Kingdom
Summary
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Rockstar🎓
Top SchoolSebastian Farquhar is a research scientist at DeepMind with eight years of experience at the intersection of AI research and academic inquiry, following a DPhil and a Junior Research Fellowship at the University of Oxford. He blends rigorous academic training in physics and philosophy with hands-on research at a leading industrial lab, bringing deep analytical skills to long-horizon and technical problems. His background includes applied research internships at DeepMind and project management roles at the Future of Humanity Institute, reflecting a sustained focus on high-impact AI and policy-relevant questions. Earlier stints in strategy and analytics at McKinsey and quantitative internships show he pairs technical depth with practical, evidence-driven decision-making. Based in the Greater Oxford area, he combines scholarly curiosity with industry-scale research delivery.
9 years of coding experience
4 years of employment as a software developer
MPhysPhil, Physics and Philosophy, MPhysPhil, Physics and Philosophy at University of OxfordGHSC
German
Github Skills (20)
probabilistic-programming9
python9
machine-learning9
statistics9
gpu9
deep-learning9
bayesian-methods9
tensorflow8
numpy8
tensor8
neural-network8
data-science8
autograd7
gpu-acceleration7
bayesian5
Programming languages (3)
Github contributions (5)
SebFar/WindyCanyon
Jun 2017 - Nov 2017
Contributions:16 pushes, 1 branch in 4 months
SebFar/radial_bnn
Mar 2020 - Apr 2020
Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Contributions:3 commits, 2 pushes, 1 branch in 21 days
bayesianbayesian-deep-learningneural-network
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