Ben Chamberlain
Artificial Intelligence Researcher at Ellison Institute of Technology Oxford
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolBen Chamberlain is an artificial intelligence researcher and engineer building massive-scale multimodal foundational models for science, currently based in London. An Oxford graduate with a PhD in Machine Learning from Imperial College, he combines top-tier academic impact—multiple papers at NeurIPS/ICML/ICLR and consecutive top‑5 ICLR papers—with two decades of industry experience deploying ML at scale. He has led applied research teams at Alphabet’s Isomorphic Labs and executive AI functions in biotech, collaborating with Nobel‑winning groups on 3D protein structure and drug discovery. Earlier roles span production ML leadership at ASOS and graph/geometric deep learning research at Twitter, showing fluency across the full project lifecycle from prototyping to high‑control engineering. Comfortable with both Bayesian inference and modern deep learning, he has delivered solutions across drug discovery, image and NLP systems, geospatial analytics and customer lifetime modeling. A practical scientist with a trader’s quantitative rigor, he uniquely blends high‑impact research with enterprise delivery.
10 years of coding experience
15 years of employment as a software developer
Master's Degree physics, Master's Degree physics at University of OxfordDoctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at Imperial College LondonPGCM Management, PGCM Management at Henley Business School
Github Skills (30)
partial-differential-equations10
graph-convolutional-networks10
pytorch9
graph9
deep-learning9
python8
graph-neural-network8
tensorflow8
machine-learning8
community-detection8
twitter7
subgraph7
bayesian7
neural-network6
keras6
Programming languages (3)
Github contributions (5)
melifluos/income-prediction
Aug 2017 - Apr 2018
Contributions:4 commits, 3 pushes, 1 branch in 8 months
melifluos/bayesian-age-detection
Apr 2017 - Apr 2018
bayesian model to detect the age of Twitter users
Contributions:6 commits, 1 PR, 5 pushes in 11 months
bayesiantwitter
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