Florian Delberghe
PHD Candidate
Netherlands
Summary
👤
Senior🎓
Top SchoolFlorian Delberghe is a bioinformatics engineer and PhD candidate based in the Netherlands with 9 years of experience applying deep learning to medical imaging problems in CT and microscopy. He combines rigorous academic training from EPFL with hands-on R&D roles at Eindhoven University of Technology, Philips, and Angiogenesis Analytics, where he moved from intern to junior algorithm engineer while continuing his PhD. His work focuses on artifact suppression, image mapping and navigation, and translating research prototypes into algorithmic components for biomedical workflows. Fluent in both research and applied development, he has a track record of designing neural solutions that address practical imaging challenges rather than only benchmark gains. Notably, he brings cross-domain fluency in computational biology and imaging, enabling him to bridge biological insight with AI-driven image analysis.
9 years of coding experience
Master's degree, Life Sciences Engineering - Computational Biology, 5.51/6, Master's degree, Life Sciences Engineering - Computational Biology, 5.51/6 at EPFL (École polytechnique fédérale de Lausanne)
French, English, Spanish
Github Skills (6)
semantic-segmentation3
segmentation3
machine-learning2
python2
neuroscience2
computer-vision2
Programming languages (2)
Github contributions (5)
FlorianDelberghe/CBCT_artifact_reduction
Oct 2020 - Apr 2021
Contributions:36 commits, 25 pushes, 1 branch in 6 months
emilebourban/ML-Project-2
Nov 2018 - Oct 2020
Contributions:25 commits, 27 pushes in 1 year 10 months
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