John Armstrong
Digital Process Development Research Fellow at CMAC
Glasgow, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolJohn Armstrong is a Digital Process Development Research Fellow combining eight years of research experience at the intersection of medicines manufacturing and data science. With a PhD in Solar Physics and an MSci in Astronomy & Mathematics from the University of Glasgow, he applies deep learning, image analysis and Python to real-time imaging problems—now focused on improving continuous pharmaceutical manufacturing. His work spans developing atmospheric-seeing correction methods for adaptive optics to deploying deep learning models that extract actionable insights from manufacturing imaging data. Comfortable translating complex physics and ML concepts into practical solutions, he also brings hands-on coding and user-focused product thinking rooted in an informal pharmacy background. Based in Glasgow, he blends academic rigor with a pragmatic drive to make technical workflows easier and more usable.
8 years of coding experience
9 years of employment as a software developer
Bannerman High SchoolDoctor of Philosophy - PhD, Solar Physics, Doctor of Philosophy - PhD, Solar Physics at University of Glasgow
Github Skills (76)
telescope9
libtorch9
prediction-model9
imaging9
jetson9
bioinformatics9
solar9
nvidia9
microscopy8
flask8
python8
modeling8
cuda8
finance8
tensorrt8
Programming languages (5)
Github contributions (5)
Goobley/Radynversion
Sep 2018 - Jun 2020
Contributions:1 release, 21 commits, 4 pushes in 1 year 9 months
bionictoucan/Slic
Jan 2019 - Jul 2019
A fast tool for solar image classification.
Contributions:5 releases, 75 commits, 1 PR in 6 months
pythondeep-learningsolarcomputer-visionmachine-learning
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