Dan Busbridge
Machine Learning Researcher at Apple
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDan Busbridge is a machine learning researcher with a decade of experience applying advanced ML to healthcare, finance, and cybercrime prevention, now driving research at Apple after leading a team at Babylon Health. Trained as a theoretical particle physicist (PhD), he brings a strong mathematical and scientific perspective to problems spanning neural ODEs, continuous-depth networks, graph representation learning, and attention mechanisms. He combines research rigour with production-minded tooling—Python (TensorFlow/PyTorch), Go, Scala/Spark, Docker and Kubernetes—to move ideas from reproducible experiments into deployed systems. Known for exploring scaling laws and hyperparameter transfer, he is particularly interested in the intersection of fundamental physics and deep learning, which informs his work on differentiable computers and time-continuous event modeling. Based in London, he balances deep theoretical curiosity with practical impact in AI-driven healthcare.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Theoretical Particle Physics, Doctor of Philosophy (PhD), Theoretical Particle Physics at Durham UniversityMaster of Physics (MPhys), Physics, First class, Master of Physics (MPhys), Physics, First class at University of Warwick
French, German, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (50)
convolutional-neural-networks10
tensorlayer10
dqn10
imagenet9
reinforcement-learning9
chatbot9
object-detection9
deep-reinforcement-learning8
python8
deep-learning8
graph8
google8
artificial-intelligence8
atom-editor7
shutdown7
Programming languages (4)
Github contributions (5)
dbusbridge/int2vec
Sep 2017 - Dec 2018
A playground for embedding spaces for integers using easy to understand corpora.
Contributions:68 commits, 2 PRs, 55 pushes in 1 year 2 months
corporamachine-learningspaceseasy-to-understandembedding
dbusbridge/gcn_tutorial
Aug 2017 - Jan 2019
A tutorial on Graph Convolutional Neural Networks
Contributions:16 commits, 10 pushes, 1 branch in 1 year 5 months
graph-convolutional-neural-networksdeep-learningconvolutionalneural-networksgraph-neural-networks
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