Development of network-based methods and probabilistic models for the integrative analysis of heterogeneous molecular high-throughput data to target medical research questions.

Tumor Biology:

• Characterization of molecular key players and mechanisms driving the development of astrocytomas, radioresistance of prostate cancer, relapse of acute myeloid leukemia and therapy resistance of melanoma metastases
• Personalized medicine

Bioinformatics:

• Development of methods for the analysis of next generation sequencing and microarray data (e.g. Hidden Markov Models)
• Tools for the identification of biomarkers

Medical Systems Biology:

• Learning of regulatory networks form heterogeneous molecular data sources
• Development of methods for the computation of network flows for the identification of impacts of specific mutations on clinically relevant characteristics