Oliver Stegle is the Head of the Computational Genomics and Systems Genetics Division at the German Cancer Research Center (DKFZ) and group leader at EMBL in Heidelberg, Germany.
His group’s main interest lies in computational methods to unravel the genotype–phenotype map on a genome-wide scale. To address this question, the team carries out research at the interface of statistical inference, machine learning and computational biology. We have pioneered computational methods for integrating large and heterogeneous datasets across individual and at the single-cell level. The methods and models we develop allow for tying together molecular changes with genetic variation and disease phenotypes and are applied in the context of important studies. Our most recent advances are in the area of single-cell genomics, where we have derived approaches both for interpreting conventional single-cell RNA-seq variability as well for the analysis of data from spatial technologies. A current direction in the lab is to extend the boundaries of single-cell analysis to integrate single-cell RNA-seq with somatic mutations and clonal substructure in tissues. Oliver obtained his PhD from the University of Cambridge in Physics in 2009 and worked as a postdoc at the Max Planck Institute for Intelligent Systems in Tübingen. He was a group leader at the EMBL European Bioinformatics before moving to Heidelberg in 2018.