Institute for Computational Biomedicine

The institute for Computational Biomedicine develops and applies computational methods to analyze biomedical data. These methods are used to acquire a functional understanding of the deregulation of molecular mechanisms in disease and to apply this knowledge to develop novel therapeutics. We specialized in the analysis of large-scale molecular data (proteomic, transcriptomics, etc.) We focus on cancer, auto-immune and fibrotic diseases.

Our research is hypothesis-driven and tailored towards producing computational models that integrate diverse data sources. Because of this, we collaborate closely with experimental and clinical groups, within the medical faculty and outside. We are connected with the EMBL via  the Molecular Medicine Partnership Unit on Chronic Kidney Disease.   A key emphasis is to build models that are both mechanistic (to provide understanding) and predictive (to generate novel hypotheses). To build these models, we combine existing biological knowledge with functional data. We use methods from statistics, machine learning, and engineering. We focus on mechanisms of cellular communication. We also analyse genomic and phenotypic data collected in large-scale drug screenings. While our research is driven by applications, we develop open-source computational tools, that we share freely with the scientific community. Finally, we support scientific crowdsourcing, specifically collaborative competitions, through the DREAM challenges.

We always welcome enquiries from colleagues to discuss synergies and  collaborations.


Prof. Dr. Ing. Julio Saez-Rodriguez
Institute of Computational Biomedicine
Im Neuenheimer Feld 267
BioQuant – BQ 0053
69120 Heidelberg, Germany
Tel: +49 6221  54 51334

For more information on the Saez-Rodriguez group, please read:

How to find us

We are located in the BioQuant building on the University Campus, please use the link below for map and descriptions: