Michele Svanera

Assistant Professor (Lecturer) In Artificial Intelligence at University of Glasgow

City of Edinburgh, Scotland, United Kingdom
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Summary

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Senior
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Top School
Michele Svanera is a Senior Machine Learning Scientist and Assistant Professor in Artificial Intelligence who combines a decade of experience in computer vision, neuroimaging and ML to translate cutting-edge research into scalable clinical and industry solutions. He leads a brain imaging lab at the University of Glasgow and R&D at Yonder, developing MRI-based models validated on hundreds of thousands of patients across multicenter cohorts for robust, clinically trusted outcomes. His work spans fast, expert-approved segmentation tools and novel methods that align deep learning models with human brain function, bridging neuroscience and practical deployment. Trained as a PhD telecommunications engineer, he is equally at home building production-grade AI systems and designing experimental fMRI studies, bringing uncommon fluency between lab science and software engineering.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Telecommunications Engineering, Doctor of Philosophy - PhD, Telecommunications Engineering at Università degli Studi di Brescia
languagesItalian, English
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Github Skills (34)

segmentation10
mls9
prediction-model9
regression7
filterbank5
faster-rcnn5
image-translation4
libtorch4
svd4
bayesian3
python3
r3
pca3
machine-learning2
cpu2

Programming languages (5)

C++CJavaScriptMATLABPython

Github contributions (5)

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rockNroll87q/LOD-Brain

Nov 2022 - Jan 2025

Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
Contributions:1 release, 2 PRs, 22 pushes in 2 years 3 months
segmentation
rockNroll87q/RRRR

Jan 2019 - Dec 2020

Reduced Rank Ridge Regression
Contributions:1 review, 26 commits, 3 PRs in 1 year 10 months
regressionridgemlsridge-regressionprediction-model
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