Joseph Boyd
AI ML Engineer at GSK
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJoseph Boyd is an AI/ML engineer with 11 years of experience specializing in deep learning for health and science, now applying his expertise at GSK. He holds a PhD in Bioinformatics and a strong academic background from EPFL, and spent years developing generative models, CNNs and transformers for histopathology and bioimage phenotyping. His work bridges research and teaching—he has lectured on machine learning and vision while publishing research-grade solutions using PyTorch, TensorFlow and classic scientific Python tooling. Joseph’s career includes applied projects from CERN metadata classification to large-scale simulation analytics early in his career, reflecting a talent for translating domain problems into robust ML systems. Colleagues describe him as a researcher-engineer who pairs rigorous experimental practice with pragmatic software skills, aiming to put machine learning directly at the service of health and science.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, 5.43 (/6), Master's degree, Computer Science, 5.43 (/6) at Ecole polytechnique fédérale de LausanneDoctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at PSL Research UniversityBachelor's degree, Mathematics, Information Technology, 6.375 (/7), Bachelor's degree, Mathematics, Information Technology, 6.375 (/7) at Queensland University of Technology
Github Skills (14)
pdf10
prediction10
computational-biology10
mechanism10
crf10
fairness-ml10
metadata9
deep-learning8
machine-learning8
transformers8
jupyter-notebook2
neural-network2
python2
jupyter1
Programming languages (3)
Github contributions (5)
jcboyd/pykelet
Mar 2015 - Jul 2015
Contributions:78 commits, 339 pushes, 1 branch in 3 months
jcboyd/vgg-fun
Nov 2019 - May 2024
Contributions:3 pushes, 1 branch in 4 years 6 months
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