Richard Röttger mainly focuses on the development of efficient algorithms for the analysis of biological networks and large-scale biomedical datasets.
He particularly focuses on unsupervised machine learning and the integration of heterogeneous datasets.
Only the efficient combination of several types of biological datasets allows for a deeper understanding on how organisms manage cell responses, reproduction, and adaption to changing environmental conditions.
