Prof. Dr. Fabian J. Theis
Academic Career and Research Areas
Professor Theis (b. 1976) conducts research in the field of systems biology. His work involves the mathematical modeling of dynamic processes in cells, in particular during cell division and the development of organisms. In this context gene regulation models are created based on experimental data. This can provide information about changes, for example, in cases of illness.
After studying mathematics and physics, Professor Theis obtained his doctorate in biophysics at the University of Regensburg (2002). He qualified as a physics lecturer there in 2008. He also obtained a doctorate in computer science at the University of Granada (2003). From 2006 to 2007, he was a Bernstein fellow at the Max Planck Institute for Dynamics and Self-Organization in Göttingen. After that, he headed up the working group "Computational Modeling in Biology" at Helmholtz Zentrum München. From 2009 to 2013 he was Associate Professor at the Chair of Applied Mathematics.In 2013 he was appointed Full Professor for Biomathematics and since then he has headed the Institute for Computational Biology at Helmholtz Zentrum München.
- ERC-Starting Grant 'Latent Causes' (2010)
- Mitgliedschaft in der ‘Jungen Akademie’ (an der Berlin-Brandenburgischen Akademie der Wissenschaften und der Deutschen Akademie der Naturforscher Leopoldina) (2009)
- ‘Heinz Maier-Leibnitz Preis’ der DFG (2006)
- Promotionspreis 'Kulturpreis E.ON Bayern' (2003)
- Bayerisches Hochbegabtenstipendium (1995)
Key Publications (all publications)
Blasi T, Hennig H, Summers HD, Theis FJ et al: “Label-free cell cycle analysis for high-throughput imaging flow cytometry”. Nat. Commun. 7. 2016; 10256.
Filipczyk A , Marr C, Hastreiter S, Feigelman J, Theis FJ, Schroeder T: “Network plasticity of pluripotency transcription factors in embryonic stem cells”. Nat. Cell Biol. 2015; 17: 1235-1246.
Haghverdi L, Buettner F, Theis FJ: “Diffusion maps for high-dimensional single-cell analysis of differentiation data”. Bioinformatics. 2015; 31(18): 2989-2998.
Bajikar SS, Fuchs C, Roller A, Theis FJ, Janes KA: “Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles”. PNAS. 2014; 111(5): E626-35.
Sass S, Buettner F, Mueller NS, Theis FJ: “A modular framework for gene set analysis integrating multilevel omics data”. Nucleic Acids Res. 2013; 41(21): 9622-9633.