Wouter-michiel Vierdag
PHD Student at EMBL
Heidelberg, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolWouter-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.
10 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 NijmegenMaster of Biomedical Science, Master of Biomedical Science at Radboud University Nijmegen
Dutch, English, French, German
Github Skills (144)
python10
json-schema10
image-viewer10
spatial-transcriptomics10
semantic-web10
linkml10
file-format10
shex10
shacl10
transcriptomics10
parallel-computing10
spatial10
owl10
pydata10
schema10
Programming languages (14)
Github contributions (5)
melonora/CardiPeak
May 2021 - Nov 2022
Bokeh application for visualizing and automatically analyzing calcium intensity signals over time.
Contributions:18 PRs, 80 pushes, 11 branches in 1 year 6 months
analyzingpythonvisualizingbokeh-applicationsignals
melonora/spatialdata-notebooks
Jun 2023 - Apr 2025
Contributions:1 PR, 39 pushes, 16 branches in 1 year 9 months
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