Paolo De Luna
Senior Data Scientist
Basel, Basel-City, Switzerland
Summary
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Senior🎓
Top SchoolPaolo De Luna is a Senior Data Scientist based in Basel with eight years of experience applying NLP, interpretable machine learning, and semantic knowledge graphs to healthcare and neuroscience problems. He has led end-to-end development of high-throughput, explainable coding tools used across hospitals in the DACH region, and built NER-L and LLM-based prototypes that extract clinical facts from long documents in under 100 ms. His background as a neuroscientist informs rigorous data pipelines and causal analysis for clinical research, from post-op delirium detection to longitudinal pain studies. Paolo combines product-minded engineering, cloud-ready data architecture, and deep domain expertise in SwissDRG and medical coding rules to deliver production-grade, auditable solutions. Colleagues rely on him to translate complex clinical requirements into pragmatic, explainable ML systems that improve patient outcomes and operational efficiency.
8 years of coding experience
12 years of employment as a software developer
Bachelor’s Degree, Cellular and Molecular Biology, cum laude, Bachelor’s Degree, Cellular and Molecular Biology, cum laude at University of Naples Federico IIMaster’s Degree, Neurobiology and Neurosciences, cum laude, Master’s Degree, Neurobiology and Neurosciences, cum laude at Sapienza University of RomeDoctorate (PhD), Neuroscience, Doctorate (PhD), Neuroscience at Université de Fribourg - Universität Freiburg
English, Italian, French, German
Github Skills (7)
template-matching8
clustering6
sorting5
python5
spike5
neuroscience5
scalable3
Programming languages (2)
Github contributions (5)
delunapaolo/calipy
Mar 2019 - Oct 2019
Contributions:12 commits, 18 pushes, 1 branch in 7 months
delunapaolo/tree-explainer
Jun 2019 - May 2020
Contributions:28 commits, 23 pushes, 1 branch in 11 months
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