Hippolyte Mayard is a Computer Vision Scientist at Pearl, where they focus on developing production-grade diagnostic models that enhance healthcare through reliable and scalable AI systems. Educated at École normale supérieure Paris-Saclay with a specialization in health, Hippolyte has also lectured on Deep Learning for Image Analysis at Paris-Dauphine. Previous roles include positions as a Deep Learning Engineer at Allisone.ai and Data Scientist at Société Générale, along with internships at organizations such as OECD and FINAXYS. Passionate about bridging theory and practice, Hippolyte actively teaches the next generation of engineers in their field.
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