Tom Mingasson

Senior Data Scientist

Greater Paris Metropolitan Region France
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Summary

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Senior
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Top School
Tom Mingasson is a Senior Data Scientist with 10 years’ experience applying deep learning to medical-device signals, currently building and deploying FDA-/CE-/PMDA-cleared ECG algorithms at Cardiologs. He blends a strong neuroscience and engineering background (EPFL, Polytechnique Montréal) with hands-on expertise in signal processing, Holter ECG interpretation, and production ML pipelines across cross-functional teams. Previously he developed cardiac parameter estimation and signal-quality algorithms at BioSerenity, automated Parkinson’s diagnosis from typing data at Logitech, and worked on audio source separation at Philips. He has contributed to regulatory submissions and scientific publications, supervises junior engineers, and pairs research rigor with practical, reproducible training and evaluation workflows. An uncommon strength is his ability to translate neuroimaging-style protocol optimization into robust ML practices for clinical devices.
code10 years of coding experience
job3 years of employment as a software developer
bookClasses Préparatoires aux Grandes Ecoles, Classes Préparatoires aux Grandes Ecoles at Lycée Champollion, Grenoble, France
bookMaster's degree, Neuroscience, Master's degree, Neuroscience at EPFL (École polytechnique fédérale de Lausanne)
bookBachelor of Science (B.S.), Bachelor of Science (B.S.) at Ecole centrale de Nantes
languagesFrench, English, German
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Github Skills (12)

segmentation10
machine-learning6
data-science5
mri4
convex4
python4
read-write3
javascript3
imaging3
diffusion-mri3
optimization2
convex-optimization2

Programming languages (4)

TeXJupyter NotebookCythonPython

Github contributions (5)

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iricchi/Project1_ML

Oct 2017 - Oct 2017

Contributions:108 commits, 92 pushes in 16 days
pythonbosonhiggsproject-1higgs-boson
neuropoly/axonpacking

Nov 2016 - Dec 2016

Contributions:36 commits, 54 pushes, 1 branch in 17 days
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