Institute for Computational Biomedicine, Heidelberg University
Date(s) : 27/01/2020 iCal
15 h 00 min - 16 h 00 min
Our research is hypothesis-driven and tailored towards producing mathematical models that integrate diverse data sources. Because of this, we collaborate closely with experimental groups. 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 biochemical knowledge with functional data. We are also very interested in the use of single-cell data.
In parallel, we analyse omics data and combine this information with our prior knowledge of the underlying pathways. While our research is driven by applications, we develop open-source computational tools that share freely with the scientific community.