Valentin Thorey
Senior Data Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolValentin Thorey is a Senior Data Scientist based in Paris with 11 years of experience building and deploying machine learning solutions across health-tech and platform teams. He blends deep learning research on time-series biomedical signals with practical MLOps expertise, having led algorithm teams at Dreem and integrated MLflow and model export pipelines at Dataiku. Currently at BrightHeart, he applies AI to prenatal cardiology, combining clinical validation experience with production-grade scoring and real-time embedded pipelines. A CentraleSupélec-trained engineer, Valentin is comfortable across the stack—from model design and clinical trial analysis to backend deployment and cloud integrations with AWS, Azure, and GCP. He’s an independent-minded freelancer who focuses on turning complex biomedical data into reliable, maintainable ML products and advising on end-to-end AI strategy. An often-overlooked strength is his track record of operationalizing models in regulated clinical contexts, bridging research rigor and production constraints.
12 years of coding experience
7 years of employment as a software developer
Master's degree, Mathématiques Appliquées au Traitement de l'Information et du Signal (MATIS), Master's degree, Mathématiques Appliquées au Traitement de l'Information et du Signal (MATIS) at CentraleSupélecMathématiques, Mathématiques at Lycée Saint Louis
Spanish, English, French
Github Skills (55)
antialiasing10
api-client10
multibox10
detector10
api10
automl10
dataiku10
optimization10
convolutional-neural-networks9
python9
machine-learning9
mlops9
deep-learning9
open-datasets8
dictionary8
Programming languages (6)
Github contributions (5)
Dreem-Organization/dosed
Mar 2019 - Aug 2021
Dreem One Shot Detector
Contributions:72 commits, 11 PRs, 20 pushes in 2 years 4 months
deep-learningneural-networkdetectorone-shot
Dreem-Organization/dreem-learning-open
Nov 2019 - Sep 2020
Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"
Contributions:1 review, 12 commits, 7 PRs in 10 months
open-datasets
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