Valentin 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.
11 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 CentraleSupélec
Contributions:9 releases, 4 reviews, 203 commits in 5 years 3 months
boxdeep-learningoptimizationmachine-learningmlops
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