Jonne Engelberts is a Senior Deep Learning Engineer with a decade of experience building AI-powered algorithms for medical imaging, currently leading model development at Thirona. He combines MSc training in Computing Science (Data Science) and a BSc in Artificial Intelligence with hands-on experience across color fundus imaging and chest CT analysis to move research methods into clinical-grade tooling. Prior roles span data science at Thirona, machine learning internships focused on face spoofing detection, and research into mobile cognitive assessment, reflecting a strong applied-research background. Jonne is particularly adept at translating domain-specific imaging problems into robust deep-learning pipelines and evaluation protocols that meet medical standards. Based in Nijmegen, he blends academic rigor with production experience, often bridging data mining pedagogy and practical model deployment in regulated healthcare contexts.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BSc), Artificial intelligence, Bachelor of Science (BSc), Artificial intelligence at Rijksuniversiteit Groningen
Master of Science (MSc), Computing Science: Data Science, Master of Science (MSc), Computing Science: Data Science at Radboud Universiteit Nijmegen
Contributions:4 commits, 3 pushes, 1 branch in 11 months
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Jonne Engelberts - Senior Deep Learning Engineer at Thirona