Gabryel Mason-williams
Doctoral Researcher (PhD) at Queen Mary University of London
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGabryel Mason-Williams is a PhD researcher in AI based in London specializing in interpretability, safety, and efficiency of deep learning models, with eight years’ experience across research and engineering roles. He has a strong publication record with papers at ICLR, NeurIPS and four at ICML, and was awarded a Google Scholarship in 2023. Prior roles at the Rosalind Franklin Institute and Diamond Light Source combine hands-on systems and research software engineering—deploying Ceph clusters, building HPC tooling, and shipping lab-automation ML systems. Gabryel blends rigorous academic training (MSc and PhD work at Queen Mary University) with practical production experience in data infrastructure and edge ML. He has participated in venture and strategy cohorts (Conception X, Fifty Years, BlueDot Impact), showing a flair for translating research into impact. An attention to tooling and reproducibility underpins his work, from synthetic dataset generation for handwriting extraction to scalable object-store deployments.
8 years of coding experience
8 years of employment as a software developer
A levels, A levels at Exeter Maths SchoolDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Queen Mary University of LondonComputer Science, Computer Science at University of Plymouth
Github Skills (42)
filesystem9
scipy9
algorithms9
python9
skill9
scientific-computing9
multimodal8
pytorch7
large-language-models7
ai7
ansible7
ceph7
computer-vision7
data-lake7
serverless6
Programming languages (9)
Github contributions (5)
rosalindfranklininstitute/DisTRaC
Apr 2022 - Feb 2023
An application that allows Ceph to run on to on a High Performance Computing cluster using RAM, creating a transient object store
Contributions:21 commits, 38 PRs, 38 pushes in 9 months
cephobject-store
DiamondLightSource/DisTRaC
Aug 2020 - Feb 2022
An application that allows Ceph to run on to on a High Performance Computing cluster using RAM, creating a transient object store
Contributions:3 releases, 50 commits, 11 PRs in 1 year 5 months
cephobject-store
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.