Fabian Theis

Prof. Dr. Fabian Theis is a Full Professor at the Technical University of Munich, Department of Mathematics, holding the chair 'Mathematical Modelling of Biological Systems'. He is also Director of Helmholtz Munich Computational Health Center and Scientific Director of the Helmholtz Artificial Intelligence Cooperation Unit. His research focuses on mathematical modelling of biological systems, with a particular emphasis on computational methods for single-cell biology and statistical learning. Prof. Theis is affiliated with the Munich School for Data Science and the ELLIS Munich Unit. He teaches courses such as Computational Methods for Single-Cell Biology and Statistical Learning at the TU Munich.

Fabian J Theis is a computational biologist and machine learning researcher at Helmholtz Munich and Technical University of Munich. His work focuses on developing computational methods for analyzing large-scale biological data, particularly in single-cell genomics. Theis has contributed to the development of tools like SCANPY and Squidpy, which are widely used for single-cell RNA-seq analysis and spatial omics. His research addresses challenges in single-cell data integration, trajectory inference, and the identification of cell states. He has also explored the application of machine learning in understanding complex biological systems, including the human cell atlas and the impact of SARS-CoV-2 on host cells.