Summary
Marc Pages-gallego is a machine learning researcher with eight years of hands-on experience applying AI and bioinformatics to diagnostics and molecular biology. He completed a PhD in Bioinformatics at Utrecht University after progressing from bioinformatics technician roles to doctoral research at UMC Utrecht, and now applies that domain expertise at Cyclomics. His work bridges wet-lab understanding (metabolomics, histone and carbon tracing) with ML model development for diagnostic applications, enabling translation of complex molecular data into clinically actionable signals. Based in the Randstad, he combines academic rigor with practical pipeline automation experience and a track record of building reproducible bioinformatics workflows. Notably, his background spans both experimental and computational environments, giving him a rare ability to tune algorithms with intimate knowledge of upstream data generation.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at University of Applied Sciences Upper Austria
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Utrecht University
Master's degree, Bioinformatics and Systems Biology, Master's degree, Bioinformatics and Systems Biology at University of Amsterdam
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at Universitat Rovira i Virgili
English, Catalan, Spanish, Dutch