Luca Deininger
Postdoctoral Researcher at ETH Zürich
Basel, Basel-City, Switzerland
Summary
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Senior🎓
Top SchoolLuca Deininger is a postdoctoral researcher and data scientist with nine years of experience applying computer vision and deep learning to challenging biomedical imaging and omics problems. He has a strong track record of translating research into publications and collaborations across top institutions (ETH Zürich, KIT, Caltech, Roche), developing end-to-end pipelines for classification and segmentation of MRI, microscopy, whole-slide histopathology, live-imaging time-lapse and single-cell RNA-Seq. Luca combines rigorous academic training (PhD summa cum laude in Mechanical Engineering, MS in Bioinformatics) with practical production skills in Python/PyTorch and R, and has repeatedly connected domain experts—biologists, pathologists and bioinformaticians—to deliver impactful solutions. He is proactive in initiating collaborations (e.g., contacting Caltech faculty at a conference) and comfortable leading independent projects that bridge research and translational application.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Bioinformatik, 1.29, Master of Science - MS, Bioinformatik, 1.29 at Eberhard Karls Universität TübingenBachelor of Science - BS, Bioinformatics, Bachelor of Science - BS, Bioinformatics at Technische Universität MünchenDoktor (Ph.D.), Mechanical Engineering, Summa cum laude, Doktor (Ph.D.), Mechanical Engineering, Summa cum laude at Karlsruher Institut für Technologie (KIT)
Github Skills (1)
python5
Programming languages (1)
Github contributions (5)
deiluca/cerebral_organoid_quant_mri
Apr 2023 - Mar 2025
Contributions:5 pushes in 1 year 11 months
deiluca/robust_monitoring_organoid_growth
Apr 2023 - Sep 2024
Contributions:9 pushes in 1 year 5 months
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