Tom Eelbode is a postdoctoral research scientist and biomedical engineer with 11 years of experience translating computer vision and AI advances into clinically relevant medical image analysis tools. Based at KU Leuven, he combines a PhD in electrical engineering with hands-on experience in ultrasound segmentation, PCB automation scripting, and interdisciplinary project leadership. He excels at bridging technical and clinical domains—designing algorithms while integrating domain knowledge and validation practices to push toward automated diagnosis. An active organiser and communicator, he has led large student events and regional NGO initiatives, demonstrating strong initiative beyond the lab. Currently pursuing an Executive MBA, he pairs deep technical expertise with growing strategic and organisational insight.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering Technologies/Technicians, Doctor of Philosophy - PhD, Electrical Engineering Technologies/Technicians at KU Leuven
Collaborative Coding, Collaborative Coding at Tampere University of Technology
Executive MBA, Executive MBA at Flanders Business School - FBS
Master of Science in Engineering, Biomedische technologie (Biomedical engineering), Master of Science in Engineering, Biomedische technologie (Biomedical engineering) at Ecole polytechnique fédérale de Lausanne
Warsaw University of Technology
ASO, Latijn-Wiskunde 6+, ASO, Latijn-Wiskunde 6+ at Heilig-Hartinstituut Heverlee
European economical system, 86%, European economical system, 86% at Politecnico di Milano
Simple Online Realtime Tracking with a Deep Association Metric
Contributions:2 pushes in 14 days
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Tom Eelbode - Postdoctoral Research Scientist at KU Leuven