Summary
Wouter-michiel Vierdag is a PhD student at EMBL with nine years of experience applying machine learning to biomedical imaging and genomics, currently embedded in the Saka Group at the Genome Biology Unit. His work spans algorithm development for multiparametric immunofluorescence, procedural data generation for medical image training, and characterizing human myeloid regulatory networks through the INsTRuCT consortium. A core developer on napari and scverse, he contributes to open-source tools that accelerate biological image analysis and single-cell workflows. He combines deep domain knowledge from a Biomedical Science master with practical software engineering, often initiating independent projects and translating research needs into reusable code. Based in Heidelberg, he brings a rare mix of hands-on model development, data-centric engineering, and community-facing open-source stewardship.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Medicine, Bachelor of Science (B.Sc.), Medicine at Radboud Universiteit Nijmegen
Master of Biomedical Science, Master of Biomedical Science at Radboud University Nijmegen
Dutch, English, French, German