Prof. Dr. Ulrich Gerland
Academic Career and Research Areas
Professor Gerland (b. 1970) conducts research into the interplay of biophysical and biochemical processes. He devises models to explore how biological functions emerge and which factors limit these functions. A quantitative characterization of this kind of biomolecular systems is of relevance to both basic science, e.g. within the framework of the Graduate School of Quantitative Biosciences Munich (QBM), and to applications in nano-biotechnology, e.g. within the framework of the Nanosystems Initiative Munich (NIM) cluster of excellence.
Professor Gerland studied Physics at the Universities of Dortmund and Heidelberg. He obtained his doctoral degree in 1998 from the University of Heidelberg for his work on the quantum mechanics of chaotic systems. His PhD research was conducted at the Max-Planck-Institute for Nuclear Physics. After working as a postdoctoral researcher at the University of Karlsruhe and the University of California, San Diego, he started a junior research group at LMU Munich in 2003. His first faculty appointment took him to the University of Cologne in 2006. He returned to LMU Munich in 2008. He has been teaching and conducting research at TUM since 2014.
Awards
- BioSysNet Grant of the Bavarian Center for Molecular Biosystems (2012)
- Emmy Noether Fellowship of the German Research Foundation (2003)
Key Publications (all publications)
Hinzpeter F., Tostevin F., Buchner A., Gerland U. (2022) “Trade-offs and design principles in the spatial organization of catalytic particles.” Nature Physics 18, 203–211.
AbstractE. Biselli, S.J. Schink, and U. Gerland (2020) " Slower growth of E. coli leads to longer survival in carbon starvation due to a decrease of the maintenance rate." Mol. Syst. Biol. 16, e9478.
AbstractSchink S.J., Biselli E., Ammar C., Gerland U. (2019) “Death rate of E. coli during starvation is set by maintenance cost and biomass recycling.” Cell Systems 9, 64-73.
AbstractErickson* D.W., Schink* S.J., Patsalo V., Williamson J.R., Gerland* U., Hwa* T. (2017) “A global resource allocation strategy governs growth transition kinetics of Escherichia coli.” Nature 551, 119-123.
AbstractP. Hillenbrand, K.C. Maier, P. Cramer, and U. Gerland (2016) "Inference of gene regulation functions from dynamic transcriptome data." eLife 5:e12188.
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