Starling Genomics is a European Polygenic Scores as a Service company connecting qualified genotyping routes, versioned scoring, interpretation, reporting, and healthcare integration. The platform supports preventive, clinical, private-care, and research settings through Starling-branded or white-label delivery.
Starling Genomics helps care providers, laboratories, private health organisations, and research teams turn polygenic-score questions into complete operational services. Depending on the setting, this can combine genotyping or controlled genotype data with quality control, imputation, scoring, interpretation, reporting, and system integration.
The same controlled PRS backbone can support longevity and preventive medicine, general medicine, primary care, hospitals, specialist clinics, cohort programmes, and white-label partners without forcing each organisation to build its own scoring infrastructure.
Translational medicine, genomics, and clinical data standards
Fabio Catarinella has a medical background and work spanning genomics and research medicine. His focus is on translation, publications, and standards around clinical data and interoperability.
Healthcare operations and cardiovascular implementation context
John Visscher has spent many years in the medical sector, including cardiovascular settings and healthcare company building. His experience helps connect scientific work to workable structures and delivery.
Finance, organizational structure, and medical venture development
Marcel van der Pluijm has a background in finance and organizational leadership, with earlier work across housing and ICT ventures. His experience in medical start-ups and long-term company advisory work adds financial structure and operational perspective to Starling.
Depth in quantitative genetics, polygenic methods, validation, and translational implementation.
Quantitative genetics and polygenic methodology
Peter Visscher is widely known for work in quantitative genetics, complex traits, and the statistical foundations of polygenic prediction. His research has been influential in how genomic variation is studied and interpreted at population scale.
Statistical genetics and polygenic score methods
Naomi Wray is a leading statistical geneticist whose work spans complex trait genomics, psychiatric genetics, and polygenic scores. She is known for method development and for helping shape how polygenic models are evaluated and used in research.
Genomics workflows, data quality, and translational operations
Sjoert Jansen works across genomics workflows and translational biomedical research. His background connects laboratory and data-quality practice with operational implementation.
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