Jeroen Van Goey is a Staff Research Engineer in BioAI with 16 years of experience applying machine learning to protein design and personalized cancer vaccines, currently leading cross-disciplinary teams at InstaDeep from Cape Town. He builds scalable, high-performance protein design libraries (Python/JAX) and runs distributed training on GPUs/TPUs, while also managing recruitment and partnerships with DTU and BioNTech for de novo peptide sequencing and signal peptide projects. His background spans industry-grade ML production pipelines (TFX for medical imaging at Barco) and large-scale bioinformatics platform management at BASF, supporting hundreds of researchers. An active contributor to Biopython’s quality and test suite, he combines deep biological training (MSc Biology, MSc Bioinformatics) with hands-on software engineering and operational rigor. Unusually for a senior ML scientist, he also spent time as a first mate on a superyacht, reflecting practical problem-solving and leadership outside the lab.
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