Institute of Medical Statistics and Computational Biology
Computational Biology
The work group Computational Biology of the Institute of Medical Statistics and Computational Biology at the University of Cologne focuses primarily on research in the fields of RNA metabolism, single-cell omics and spatial transcriptomics, and statistical modelling and algorithms for high-dimensional life science data.
Our team is part of the Cluster of Excellence for Cellular Stress Responses in Aging-Associated Diseases CECAD at the University of Cologne.
We are involved in academic teaching mainly in the B.Sc. study course Quantitative Biology and the M.Sc. study course Biological Sciences of the Faculty of Mathematics and Natural sciences, as well as the Interdisciplinary Program in the Area of Health Sciences IPHS and the study course Human Medicine of the Faculty of Medicine.
Publication Highlights
Bioinformatics 2026
A Spectral Dimension Reduction Technique That Improves Pattern Detection in Multivariate Spatial Data
PLOS Computational Biology 2024
Nuclear export is a limiting factor in eukaryotic mRNA metabolism
Scientific Reports 2022
Pseudotime analysis reveals novel regulatory factors for multigenic onset and monogenic transition of odorant receptor expression