Dominik Heider

Faculty

Dominik Heider is Full Professor for Data Science in Bio Medicine

The Data Science group focus on research on the development of computational solutions from the field of Data Science for solving biomedical problems, e.g., machine learning algorithms for predicting drug resistance of pathogens or for modeling diseases, such as cancer. In another central part of our research, we aim to develop new methods and algorithms for analyzing (meta-)genomic and (meta-)transcriptomic data of microorganisms, genome assembly, and functional annotation. Since NGS technologies have great potential in biomedical research, but data processing is still limited by computational power, we further investigate techniques based on high-performance computing.