Summary
Francesco Ciompi is an associate professor and research group leader specializing in artificial intelligence for precision medicine, with a decade of experience translating deep learning and computer vision into clinical-grade digital pathology and medical imaging tools. Based at Radboud University Medical Center in Nijmegen, he progressed from PhD work on intravascular ultrasound to senior researcher and faculty roles focused on lung cancer imaging, CT analysis, and computer-aided diagnosis. His work bridges rigorous academic research and applied clinical impact, leading projects that integrate discriminative and sequential models into pathology workflows. Trained in electronic engineering and AI/vision across Italian and Spanish universities, he blends systems-level engineering instincts with methodological depth in machine learning. Notably, his career path reflects a steady shift from foundational signal-processing and control systems toward leading translational AI in healthcare.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Electronic Engineering, Master of Science (MSc), Electronic Engineering at Università di Pisa
Master's degree, Artificial Intelligence and Computer Vision, Master's degree, Artificial Intelligence and Computer Vision at Universitat Autònoma de Barcelona
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universitat de Barcelona
Italian, English, Spanish, Catalan, Dutch, French