Ariel Cohen is a Senior Data Scientist based in Paris with seven years of experience applying big data, machine learning and IoT methods to healthcare and transportation challenges. He leads analysis for the Clinical Data Warehouse at Greater Paris University Hospitals, coaching junior scientists and building feasibility and pre-screening services from real-world data. His work specializes in modeling patient journeys and applying NLP—contributing to the open-source edsnlp library—and he has led notable COVID-19 and oncology studies using EHRs. Earlier roles span ML for airline demand modeling and IoT projects for food security, giving him a rare mix of operations research, field deployment and clinical analytics. Trained in industrial engineering and data science, he pairs rigorous quantitative skills with product-minded delivery. Outside work he brings a creative edge as a trained violinist and avid photographer, which informs a practical yet inventive approach to data problems.
7 years of coding experience
7 years of employment as a software developer
Academic exchange semester Engineering, Academic exchange semester Engineering at CentraleSupélec
Master of Science in Industrial and Applied Mathematics - Track Data Science Artificial Intelligence, Master of Science in Industrial and Applied Mathematics - Track Data Science Artificial Intelligence at National School of Computer Science and Applied Mathematics of Grenoble
Bachiller especializado en ciencias exactas tecnología y diseño, Bachiller especializado en ciencias exactas tecnología y diseño at Colegio Nacional de Buenos Aires
Engineer's degree Industrial Engineering, Engineer's degree Industrial Engineering at University of Buenos Aires
Conservatorio superior de música "Manuel de Falla"
Snorkel MeTaL: A framework for training models with multi-task weak supervision
Contributions:4 PRs, 10 pushes, 4 branches in 8 months
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