Jorge Samper-gonzález is a Senior Technology Specialist with 12 years of experience bridging machine learning research and product-focused healthcare solutions. He holds a PhD in Computer Science and built reproducible neuroimaging software during his doctoral work, which he applied to early Alzheimer's prediction before transitioning that expertise into clinical-grade products at Qynapse. His career spans research roles at ICM and international internships, through industry positions leading data science teams and now technology work at Dassault Systèmes. Known for translating complex ML research into deployable systems, he blends rigorous academic methods with product delivery and a track record of impacting patient-focused healthcare applications. An engineer by training from University of Havana with advanced studies in data mining, he brings a pragmatic, interdisciplinary approach to applied AI in biomedicine.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Sorbonne Université
UPC Universitat Politècnica de Catalunya
Master’s Degree, Data Mining and Knowledge Management, Master’s Degree, Data Mining and Knowledge Management at Université Pierre et Marie Curie (Paris VI)
Engineer's degree, Computer Science, Engineer's degree, Computer Science at University of Havana
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Jorge Samper-gonzález - Senior Technology Specialist at Dassault Systèmes