Jeroen Van Goey is a seasoned machine learning and bioinformatics professional with 15 years of experience, currently serving as Staff Research Engineer in BioAI at InstaDeep. He leads cross-disciplinary teams on de novo peptide sequencing with DTU and signal peptides research for immunotherapy with BioNTech, guiding recruitment and strategy for Cape Town and Kigali offices. Previously at Barco he built ML production pipelines for multispectral skin cancer detection, and at InstaDeep he designed scalable protein-design libraries based on Transformer architectures using Python and JAX. He also contributed to the Biopython project as a QA/Test Automation Engineer, focusing on tests, encoding robustness, and documentation. Based in Cape Town, South Africa, he holds an M.Sc in Bioinformatics from KU Leuven and an M.Sc in Biology from the University of Antwerp, plus a microdegree in Machine Learning and Deep Learning. Jeroen is known for bridging academia and industry, delivering practical, auditable ML solutions at scale and mentoring teams to advance cutting-edge bioAI research.
16 years of coding experience
15 years of employment as a software developer
M.Sc. Biology, M.Sc. Biology at University of Antwerp
M.Sc. Bioinformatics, M.Sc. Bioinformatics at KU Leuven
AFS intercultural exchange program, AFS intercultural exchange program at Møglestu videregående skole
Java EE developer, Java EE developer at Beta
Erasmus interuniversity exchange, Erasmus interuniversity exchange at Universitat de Barcelona
Secondary education: math-modern languages, Secondary education: math-modern languages at Onze-Lieve-Vrouwecollege, Antwerp
Microdegree Machine Learning en Deep Learning, Microdegree Machine Learning en Deep Learning at HOWEST Hogeschool West-Vlaanderen
Official git repository for Biopython (originally converted from CVS)
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:32 commits, 6 PRs, 19 comments in 5 years 3 months
Contributions summary:Jeroen primarily contributed to improving the quality and reliability of the Biopython library. Their work involved fixing typos within code and documentation, and adding and modifying tests to ensure correct behavior. They also implemented tests for specific functionalities and addressed encoding issues, enhancing the robustness of the library. Furthermore, they focused on correcting typos throughout the codebase and in documentation.
Contributions:1 push, 3 branches in 4 years 7 months
pythonspectrometrymass-spectrometrymzmlmass
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Jeroen Van Goey - Staff Research Engineer In BioAI at InstaDeep