James Butterworth

AI Researcher at imec

London, England, United Kingdom
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Summary

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Senior
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Top School
James Butterworth is an AI researcher based in London with nine years of experience bridging academic research and production-grade AI systems. He holds a PhD in Artificial Intelligence and has led projects ranging from novel PDE-informed optimisation algorithms for transfer learning to calibrating biomechanical digital twins of the heart and lungs. His work spans generative models (VAEs, GANs, diffusion), neuroevolution, and real-world deployment, including building anomaly-detection pipelines in C++/Python that processed millions of events daily. James has a track record of turning cutting-edge research into practical solutions—evident from shipping code to production in Docker and steering AI research at startups and institutes like UCL and The Alan Turing Institute. Notably, he applied latent-space evolutionary operators to accelerate transfer learning and has hands-on experience optimising both software performance and economic trade-offs in constrained environments.
code9 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy (PhD) Artificial Intelligence, Doctor of Philosophy (PhD) Artificial Intelligence at University of Liverpool
bookHigh School, High School at King David High School
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Stackoverflow

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Github Skills (57)

python10
machine-learning10
deep-learning10
gpu10
alan10
ati10
numpy9
acceleration9
autograd9
tensorflow9
neural-network9
tensor9
gpu-acceleration9
bed9
testbed8

Programming languages (4)

C++RustHTMLPython

Github contributions (5)

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jamesbut/NeuroEvo

Jul 2019 - Oct 2022

Contributions:320 commits, 297 pushes, 7 branches in 3 years 3 months
Montvieux has developed “The hunting of the PLARK” Artificial Intelligence (AI) testbed to support a Hackathon activity at the Alan Turing Institute (ATI). The testbed is very flexible and will support both short term exercises in the Hackathon and provide a basis for more extensive, long-term, and cutting edge research. The test bed can be used as a basis to research the limits of agent generalisation, co-operation, and deception in a defence environment.
Contributions:86 commits, 2 PRs, 27 pushes in 29 days
operationbedalantestbedbasis
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James Butterworth - AI Researcher at imec