Dr. Jan Baumbach studied Applied Computer Science in the Natural Sciences at Bielefeld University in Germany. His research career started at Rothamsted Research in Harpenden (UK) where he worked on computational methods for the integration of molecular biology data. He returned to the Center for Biotechnology in Bielefeld for his PhD studies on the reconstruction of bacterial transcriptional regulatory networks. He developed CoryneRegNet, the reference database and analysis platform for corynebacterial gene regulations. Afterwards, at the University of California at Berkeley, he worked in the Algorithms group of Richard Karp on protein homology detection. In Berkeley, he also developed Transitivity Clustering, a novel clustering framework for large-scale biomedical data sets. From March 2010, Jan was head of the Computational Systems Biology group at the Max Planck Institute for Informatics in Saarbrücken, Germany.

In October 2012, he moved to the University of Southern Denmark as head of the Computational BioMedicine group. His research concentrated on the combined analysis of biological networks together with OMICS data, the modeling of genetic expression pathways as well as biomarker discovery and computational methods for precision medicine. He was study program coordinator of Computational BioMedicine program from 2015 to 2017. In January 2018 he moved to the Technical University of Munich as chair of the Experimental Bioinformatics. In Munich, Jan develops computational methods for Systems Medicine and novel federated AI approaches ensuring privacy by design.