Dennis Bontempi

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.
code7 years of coding experience
job1 year of employment as a software developer
bookMaster 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
languagesEnglish, Italian, python
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Github Skills (93)

dashboard10
statsd10
postgresql10
grafana10
medical-imaging10
influxdb10
medical10
image-analysis10
monitoring10
javascript10
graphite10
linux10
ct-images10
data-visualization10
cornerstone10

Programming languages (6)

TypeScriptC++CHTMLJupyter NotebookPython

Github contributions (5)

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Transparent and Reproducible AI-based Medical Imaging Pipelines Using the Cloud.
Contributions:3 releases, 2 PRs, 53 pushes in 1 year 1 month
cloudcloud-computingdeep-learningmedical-image-processingmedical-imaging
Python wrapper for Plastimatch.
Contributions:2 releases, 5 PRs, 29 pushes in 3 years 7 months
dicom-imagesmedical-image-processingpython
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