Francesco Ciompi

Associate Professor

Nijmegen, Gelderland, Netherlands
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job10 years of employment as a software developer
bookMaster of Science (MSc), Electronic Engineering, Master of Science (MSc), Electronic Engineering at Università di Pisa
bookMaster's degree, Artificial Intelligence and Computer Vision, Master's degree, Artificial Intelligence and Computer Vision at Universitat Autònoma de Barcelona
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universitat de Barcelona
languagesItalian, English, Spanish, Catalan, Dutch, French
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Github Skills (16)

javascript10
deep-learning8
gpu8
machine-learning8
python8
neural-network6
tensorflow6
numpy5
acceleration3
gpu-acceleration3
tensor3
autograd2
sda1
cli-app1
command-line-interface1

Programming languages (3)

TeXGoPython

Github contributions (5)

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Contributions:11 commits, 10 pushes, 1 branch in 2 years 4 months
Contributions:1 commit, 1 push in 1 day
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