Wouter-michiel Vierdag

PHD Student at EMBL

Heidelberg, Baden-Württemberg, Germany
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Summary

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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.
code9 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science (B.Sc.), Medicine, Bachelor of Science (B.Sc.), Medicine at Radboud Universiteit Nijmegen
bookMaster of Biomedical Science, Master of Biomedical Science at Radboud University Nijmegen
languagesDutch, English, French, German
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Github Skills (145)

python10
image-processing10
spatial-transcriptomics10
image-viewer10
transcriptomics10
spatial10
modular10
variational-autoencoder10
multimodal10
autoencoder10
numpy10
single-cell-analysis10
storage10
data-exchange10
spatial-data10

Programming languages (11)

JuliaRBikeshedRustMakefileSCSSJavaScriptNextflow

Github contributions (5)

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melonora/spatialdata-io

Apr 2023 - Mar 2025

Contributions:36 pushes, 8 branches in 2 years
melonora/spatialdata

Jun 2023 - Mar 2025

An open and universal framework for processing spatial omics data
Contributions:2 PRs, 345 pushes, 62 branches in 1 year 9 months
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Wouter-michiel Vierdag - PHD Student at EMBL