Danielle Welter is a Principal Data Scientist with 14 years of experience specialising in metadata standards, ontologies and FAIR data management for clinical, genomic and healthcare interoperability. She has driven semantic modelling and standards work across institutions including EMBL-EBI, the Human Cell Atlas, University of Luxembourg and the Luxembourg National Data Service, helping pharmaceutical and clinical projects operationalise FAIR principles. Her expertise spans software-defined knowledge bases and semantic integration of large biomedical datasets (e.g., GWAS catalog work), bridging research-grade ontologies with practical data management pipelines. Danielle combines deep academic training (PhD in Bioinformatics) with hands-on applied science to make complex clinical-genomic data more reusable and interoperable. Known for translating ontology and metadata standards into usable workflows, she focuses on cultural as well as technical change to maximise scientific value. Based in Luxembourg, she brings a rare mix of domain knowledge, standards leadership and production-level data stewardship.
14 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Cardiff University / Prifysgol Caerdydd
Bachelor's Degree, Medical Molecular Biology, 2:1, Bachelor's Degree, Medical Molecular Biology, 2:1 at University of Wales, Cardiff
Contributions:1 release, 9 PRs, 8 pushes in 2 years 4 months
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