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Fabian Theis conducts research in the field of computational biology, focusing on the application of machine learning methods to address biological questions, particularly modeling cell heterogeneities based on single-cell analyses and the integration of omics data within systems medicine approaches. He received his PhD degrees in physics and computer science in 2002 and 2003, respectively. Following his doctoral studies, he worked as a postdoctoral researcher in Regensburg, Tokyo, and Tallahassee, and took on a position as a Bernstein Fellow at the Max Planck Institute for Dynamics and Self-Organization in Göttingen. He then joined the German Research Center for Environmental Health at Helmholtz Zentrum München, where he led a group in the Institute of Bioinformatics and Systems Biology for six years. In 2009, he became an Associate Professor and later a Full Professor of biomathematics at the Technical University of Munich (TUM), holding the Chair in Mathematical Modeling of Biological Systems and serving as the director of the Institute of Computational Biology at Helmholtz Zentrum München.