Summary
Amine Amyar is an Instructor in Medicine and staff scientist at Harvard Medical School with a decade of experience translating artificial intelligence into clinical radiology tools. His background blends a PhD in Computer Science with hands-on roles in deep learning, radiomics, and data operations at institutions including Centre Henri-Becquerel and GE Healthcare. He progressed from software developer and PhD candidate to research fellow and now instructor, demonstrating both technical depth and an ability to drive clinical research into practice. Active in the Radiology: Artificial Intelligence community at RSNA, he bridges academic rigor and editorial insight to shape how AI is evaluated and adopted. Based in Boston, he brings a rare combination of imaging-focused ML expertise and operational experience deploying medical-data workflows. Colleagues benefit from his interdisciplinary training across imaging, web intelligence, and intelligent systems, which fuels pragmatic, reproducible AI solutions for healthcare.
10 years of coding experience
4 years of employment as a software developer
Master's degree (M1), Web Intelligence, Master's degree (M1), Web Intelligence at Université Jean Monnet Saint-Etienne
Master's degree, Intelligent Computer Systems, Master's degree, Intelligent Computer Systems at Université des Sciences et de la Technologie 'Houari Boumediène'
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Rouen Normandie
Master's degree (M2), Imaging and Knowledge Engineering, Master's degree (M2), Imaging and Knowledge Engineering at Université de Reims Champagne-Ardenne
Arabic, French, English