Professor Fabian Theis is a pioneer in biomedical artificial intelligence and machine learning, particularly in the context of single-cell genomics. His group develops novel machine learning algorithms to solve complex biological and medical questions. Fellows will benefit and learn from the recent work from the Theis lab in the scope of modelling drug perturbation responses at the single-cell level as well as from ongoing work from Prof. Theis’s ERC advanced grant focusing on systematically modelling single cell behaviour under external perturbations, particularly drug-induced perturbations with single-cell readouts. In addition to his Professorship at the Chair for Mathematical Models of Biological Systems at TUM, Prof. Theis is the Head of the Helmholtz Munich Computational Health Center and Scientific Director of the Helmholtz Artificial Intelligence Cooperation Unit (Helmholtz.AI). He is the initiator and current coordinator of the "Munich School for Data Science (MUDS)”, which was launched in 2018 with the participation of Helmholtz Munich, DLR, IPP, Technical University of Munich and Ludwig-Maximilians-Universität Munich. He has so far supervised over 50 postdocs and more than 65 PhD students.