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.
10 years of coding experience
3 years of employment as a software developer
Classes Préparatoires aux Grandes Ecoles, Classes Préparatoires aux Grandes Ecoles at Lycée Champollion, Grenoble, France
Master's degree, Neuroscience, Master's degree, Neuroscience at EPFL (École polytechnique fédérale de Lausanne)
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Ecole centrale de Nantes
Contributions:36 commits, 54 pushes, 1 branch in 17 days
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