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Richard Röttger

Associate Professor
Department of Mathematics and Computer Science


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.