Niek De Jonge
Data Scientist
Wageningen, Gelderland, Netherlands
Summary
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Rockstar🎓
Top SchoolNiek De Jonge is a data scientist with five years of experience at the intersection of computational metabolomics and software development, currently developing deep learning models to interpret mass spectrometry data at Wageningen Food Safety Research. He progressed from a PhD in computational metabolomics to a postdoc and now industry research role, blending rigorous academic training with practical model-building for complex analytical chemistry problems. Comfortable as a research software engineer, he brings hands-on coding expertise applied to high-throughput metabolomics workflows and reproducible analysis. Based in Wageningen, he pairs molecular life sciences background with software craftsmanship, often translating domain knowledge into scalable ML solutions that make spectral data more interpretable for food safety and biochemical research.
5 years of coding experience
Master, Molecular Life Sciences, Master, Molecular Life Sciences at Wageningen University & Research
Github Skills (24)
fuzzy-search10
package-management10
fuzzy-matching10
conda10
mass-spectrometry10
computational-chemistry10
bioinformatics10
word2vec9
python9
machine-learning9
bioconda9
deep-learning8
biological-data-analysis6
internals5
tandem5
Programming languages (6)
Github contributions (5)
iomega/ms2query
Jan 2021 - Jan 2023
MS2Query - machine learning assisted library querying of MS/MS spectra
Contributions:60 releases, 50 reviews, 548 commits in 2 years
machine-learning
niekdejonge/MS2LDA_Reloaded
Nov 2021 - Nov 2023
Contributions:4 PRs, 55 pushes, 5 branches in 1 year 11 months
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