Leader of the Genome Informatics Group at UK Essen
Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen
Johannes Köster is a computer scientist with a focus on algorithm engineering and data analysis in bioinformatics. Johannes studied computer science at the University of Dortmund (diploma thesis 2010, with Max Planck Institute of Molecular Physiology Dortmund). Then, he did his PhD in the group of Prof. Sven Rahmann (TU Dortmund, 2015). Afterwards, Johannes was a postdoc in the groups of Prof. Shirley Liu and Prof. Myles Brown at Dana Farber Cancer Institute and Harvard University (2015-2016). In 2016, Johannes moved to the lab of Prof. Alexander Schönhuth for a brief second postdoc at Centrum Wiskunde & Informatica Amsterdam, Netherlands (CWI), where he quickly received a VENI grant for an independent position. In 2017, Johannes became the head of the group "Algorithms for reproducible bioinformatics at the University of Duisburg-Essen in Germany. Johannes' research is focused on reproducibility in three ways. First, he is the author of the popular workflow management system Snakemake and the founder of the Bioconda project for sustainably distributing bioinformatics software as easily installable packages. Together, these projects form the base for a large fraction of currently performed scalable and reproducible data analysis in bioinformatics. Second, Johannes is the author of the Rust-Bio library, enabling the use of the Rust programming language for bioinformatics by providing standard bioinformatics algorithms and data structures. Using Rust promotes reproducibilty by guaranteeing thread and memory safety at compile-time. Third, Johannes is working in the field of Bayesian statistics (e.g., for variant calling and single cell transcriptomics) in order to provide algorithms for analysis of high-throughput data while capturing and quantifying all known sources of uncertainty, thereby providing more reproducible predictions.