Postdoctoral Researcher at University of Lausanne - UNIL
Lausanne, Vaud, Switzerland
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Summary
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Dennis Bontempi is a postdoctoral researcher at the Computational Biology Department of the University of Lausanne with eight years of experience applying machine learning and deep learning to medical imaging, imaging genetics, and oncology. He completed a PhD at Maastricht University working on deep learning for cardiovascular imaging and cancer under Prof. Hugo Aerts and was a research scholar at the AIM program affiliated with Harvard and Mass General Brigham. His background bridges engineering (MEng and BE, both summa cum laude) and translational research, combining rigorous computational methods with clinical collaborations across Europe and the US. Known for developing 3D medical image segmentation and imaging-genetics workflows, he brings multidisciplinary fluency in genetics, imaging, and computational science. Colleagues value his track record of moving advanced models from research settings into cross-institutional projects that inform oncology and cardiovascular studies.
7 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Computer Science, 110/110 cum laude, Master of Engineering - MEng, Computer Science, 110/110 cum laude at UniversitĂ degli Studi di Brescia
Contributions:2 releases, 5 PRs, 29 pushes in 3 years 7 months
dicom-imagesmedical-image-processingpython
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