Angelo Franciosini is an AI Engineer with a PhD in computational neuroscience and eight years of experience applying advanced machine learning to medical imaging and diagnostics. He has progressed from academic research—where he developed biomimetic AI frameworks and custom backpropagation algorithms—to production-focused R&D roles, leading end-to-end development, testing, and regulatory-ready documentation for clinical AI products. Based in Marseille, he blends deep expertise in PyTorch, GPU-accelerated and distributed training with practical productization at Avicenna.AI and now Chipiron. Angelo uniquely bridges neuroscience intuition and engineering rigor, often designing architectures inspired by biological principles to improve robustness in medical imaging tasks. He also brings experience standardizing clinical signal acquisition and translating client feedback into iterative model improvements. This combination of research pedigree and hands-on deployment makes him adept at turning novel algorithms into reliable clinical tools.
8 years of coding experience
4 years of employment as a software developer
Universidade Nova de Lisboa
Master of Science - MS, Bioengineering and Biomedical Engineering, Master of Science - MS, Bioengineering and Biomedical Engineering at Politecnico di Milano
Doctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Aix-Marseille University
DESU, Scientific communication, DESU, Scientific communication at École de Journalisme et de Communication d'Aix-Marseille
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