Joeri was trained as a bioinformatician and has a background in analysis, visualisation and web-based data systems for multi-omics research on plants, mice and nematodes before completing his PhD in human medical genetics. He has since researched algorithms to estimate DNA variant pathogenicity, predict gene expression and prioritise disease genes based on patient phenotypes.
Now, he is designing semantic schemas and implementing 'FAIR-by-design' systems to capture, discover, share molecular and clinical data in various (inter)national projects. Both algorithms and data are critical to expand our knowledge and develop better molecular diagnostics for rare disease patients.
To complete the circle, these are incorporated into automated genome interpretation pipelines from which variant classifications are publicly shared. In his work, he is a strong advocate of open source software development, open data, and open access science.