Daan Geijs

Office: Route 828, Room 16
Telephone: +31 243668920
Email: daan.geijs@radboudumc.nl
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Daan Geijs is a student of the University of Twente(Biomedical Engineering, specializing in Imaging and Diagnostics). He is a visiting master student in the group of digital pathology and finished his internship here on automatic deconvolution of wholeslide images. He is now working on deep learning systems for the analysis of IHC-stained multiplex images combining it with Raman-spectrosopy, with the aim of linking biomarker expression to the patient outcome. He is supervised by Jeroen van der Laak and Geert Litjens.