Michele Svanera
Senior Machine Learning Scientist at Yonder s.r.l.
City of Edinburgh, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolMichele 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.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Telecommunications Engineering, Doctor of Philosophy - PhD, Telecommunications Engineering at Università degli Studi di Brescia
Italian, English
Github Skills (42)
volumes10
mls9
prediction-model9
tesla9
segmentation9
regression8
posters7
deep-learning7
texture5
filter4
translation4
image-translation4
machine-learning4
libtorch4
computer-vision3
Programming languages (5)
Github contributions (5)
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
rockNroll87q/cerebrum7t
Sep 2020 - Nov 2021
Code for the paper "CEREBRUM-7T: fast and fully-volumetric brain segmentation of 7 Tesla MR volumes"
Contributions:1 release, 1 review, 338 commits in 1 year 2 months
brainvolumesdeep-learningbrain-segmentationcerebrum
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