Arnaud Hocine is Head of AI based in Paris with eight years of experience building medical imaging and healthcare AI solutions, now leading AI strategy and delivery at AZmed. He combines a strong research background—a doctorate in information sciences and long-standing roles at Inserm and Institut Roche—with hands-on engineering experience as a data engineer at Health Data Hub and Owkin. He regularly teaches deep learning and practical TensorFlow/Keras implementations at Université de Strasbourg and Toulouse School of Economics, where he designed course material bridging research papers and production-ready pipelines. His expertise spans convolutional neural networks, segmentation and classification for digital pathology, and FAIR machine-learning pipelines and best practices in Python. Known for moving algorithms from lab to clinic, he blends academic rigor with production-focused data engineering in regulated health contexts. An oft-overlooked strength is his track record of creating teaching artifacts and TPs that accelerate new researchers’ ability to reproduce and implement cutting-edge papers.
8 years of coding experience
3 years of employment as a software developer
Doctorat Mathématiques Sciences de l’Information et de l’Ingénieur (laboratoire ICUBE), Doctorat Mathématiques Sciences de l’Information et de l’Ingénieur (laboratoire ICUBE) at University of Strasbourg
TIC santé Imagerie Robotique et Ingénierie pour le Vivant spécialité Image et Vision, TIC santé Imagerie Robotique et Ingénierie pour le Vivant spécialité Image et Vision at Télécom Physique Strasbourg
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