After Catharina finished her studies in Mathematics at the Dresden University of Technology, she pursued a PhD in the Machine Learning Group (MLG) of the Computer Science Department at the Université libre de Bruxelles (ULB). Her PhD project focused on the development of algorithms for causal inference applied to bioinformatics. Since then she has worked on different research projects applied to oncology: inference of regulatory networks, predicting the effect of drug perturbations on the transcriptome, and predicting the role of cancer driver genes. Her current research focus is the development of machine learning methods to integrate different levels of omics data.
Catharina is currently working as research bioinformatician at the UZ Brussel and BRIGHTcore, the Brussels Interuniversity Genomics High Throughput Core. In 2021 she was appointed 10% assistant professor (ZAP) at the Vrije Universiteit Brussel (VUB).
In the TumorScope project she is co-supervising the analysis of the genetic data and advising on the integrative data analysis part of the project.