Thomas Rogers

Principal Applied Scientist at Bright Matter Labs

London, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Thomas Rogers is an AI and machine vision leader with a decade of experience translating research-grade deep learning into production products for property and natural disaster recovery. He holds a PhD in computer vision from UCL and has progressed from academic research to senior industry roles, including Lead Researcher and Research Manager at Tractable and Director-level responsibilities at Bright Matter Labs. His expertise spans convolutional neural networks, ML deployment and productisation, and he has also applied quantum machine learning during a stint at Rahko—an uncommon cross-disciplinary detail that informs his approach to hard ML problems. Based in London, he combines hands-on modelling with operational delivery, bridging research, engineering and product to drive AI systems from prototype to impact.
code10 years of coding experience
job13 years of employment as a software developer
bookA-Levels Maths, Further Maths, Physics, Chemistry, A-Levels Maths, Further Maths, Physics, Chemistry at Chipping Norton School
bookMSci Physics with Theoretical Physics, MSci Physics with Theoretical Physics at Imperial College London
bookThe Warriner School
bookUniversity College London
languagesEnglish, French, German
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Github Skills (25)

google-scholar9
graph-convolutional-networks8
graph-neural-network8
geometric-deep-learning7
pytorch7
deep-learning6
html5
python5
splits5
language-model5
saml4
jekyll4
bootstrap4
linux4
windows4

Programming languages (5)

GoPHPHTMLJupyter NotebookPython

Github contributions (5)

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TWRogers/twrogers.github.io

Aug 2019 - Jul 2025

Personal website and blog.
Contributions:76 pushes, 1 branch in 5 years 11 months
reactcssjekyllbootstrapnextjs
Takes a Google Scholar profile URL and outputs an html snippet to add to your website.
Contributions:12 commits, 6 PRs, 18 pushes in 2 days
google-scholargoogle-scholar-scrapperpython
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