Computational Biology

Computational Biology is the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. The computational biology research within the AI lab focusses on different topics like the identification and analysis of the information processing capacity of proteins, the analyses of diseases like CML through the use of a mathematical model of the hematopoietic system and the modelling of populations of evolving individuals that try to collectively achieve some goal like cooperation or coordination.

In addition we aim to assist public health officials in their decision process with respect to the mitigation of infectious diseases (such as influenza, HIV, Hepatitis C, Dengue). To this end, we investigate how epidemiological models of infectious diseases can be most effectively used and how epidemiological data can be most optimally explored. 

We use graphical models to learn about the association between mutations in virus genomes (i.e., HIV and HIV) to improve our understanding of drug resistance mechanisms.