Dr. Jan Hasenauer
Helmholtz Research Group
Academic Career and Research Areas
The research of Jan Hasenauer (*1983) focuses on the development of methods for data-driven modeling of biological processes. These methods enable a model-based integration of different datasets, the critical assessment of available information, the comparison of different biological hypotheses and the tailored selection of future experiments. Following to the philosophy of Galileo Galilei: “Measure what can be measured, and make measurable what cannot be measured.” the research group of Jan Hasenauer uses mathematical models and computational methods to reconstruct properties of biological systems, which cannot be assessed experimentally.
Jan Hasenauer studied Engineering Cybernetics at the University of Stuttgart and the University of Wisconsin, Madison. After his graduation, he started his PhD studies in systems biology for which he received the Ph.D. degree in 2013. A few months later he became team leader at the Institute of Computational Biology at the Helmholtz Zentrum München. Since August 2015, he leads an independent junior research group at the Helmholtz Zentrum München. Jan Hasenauer received several awards, including two best paper awards and the MTZ Award for Medical Systems Biology.
- Curriculum Vitae
- MTZ-Award for Medical Systems Biology (2014)
- Best Student Paper Award at the International Workshop on Computational Systems Biology (2011 & 2012)
- Kyb-Alumni Award (2008)
- Peter Sagirow Award (2006)
Key Publications (all publications)
Hasenauer J, Hasenauer C, Hucho T, Theis FJ “ODE constrained mixture modelling: A method for unraveling subpopulation structures and dynamics”. PLoS Computational Biology, 10(7): e1003686, 2014Abstract
Heinrich S, Geissen E-M, Trautmann S, Kamenz J, Widmer C, Drewe P, Knop M, Radde N, Hasenauer J, Hauf S “Determinants for robustness in spindle assembly checkpoint signalling". Nature Cell Biology, 15(11):1328-1339, 2013Abstract
Hasenauer J, Wolf V, Kazeroonian A, Theis FJ “Method of conditional moments (MCM) for the chemical master equation”. Journal of Mathematical Biology, 69(3):687-735, 2013Abstract
Andres C, Hasenauer J, Ahn H-S, Joseph EK, Isensee J, Theis FJ, Allgöwer F, Levine JD, Dib-Hajj SD, Waxman SG, Hucho T “Wound healing growth factor, basic FGF, induces Erk1/2 dependent mechanical hyperalgesia”. Pain, 154(10):2216-2226, 2013Abstract
Hasenauer J, Schittler D, Allgöwer F “Analysis and simulation of division- and label-structured population models: A new tool to analyze proliferation assays” Bulletin of Mathematical Biology, 74(11):2692-2732, 2012Abstract