Lab members
Huub van der Ent
PhD Student
Huub completed his master’s degree in Computer Science at the Delft
University of Technology, focusing on artificial intelligence and
bioinformatics. During his master's internship at the Netherlands Cancer
Institute, he studied drug combination therapy resistance in KRAS mutant
cancers. Specifically, he modeled single-cell temporal gene expression by
applying Bayesian inference to ordinary differential equations (ODEs). This
experience in cancer research inspired him to pursue a PhD in the field. At
the de Ridder lab, he will focus on applying machine learning methods to
improve the pre-operative diagnosis of CNS tumor subtypes based on cell-
free DNA (cfDNA).