computational
modeling in biology

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Jan Hasenauer

Email: jan.hasenauer@helmholtz-muenchen.de
Tel.:   +49 (0) 89 3187 2788
Room: 150

Research

Methods

  • Parameter estimation and uncertainty analysis
  • Model reduction (for parameter estimation)
  • Modeling of heterogeneous cell systems
  • Multi-scale modeling

Biological process

  • TNF- and TRAIL-induced pro- and anti-apoptotic signalling
  • Pain sensitization in nociceptive neurons
  • mircoRNA regulation of signal transduction

 

Selected Publications (→ complete list)

  1. J. Hasenauer, M. Löhning, M. Khammash, and F. Allgöwer. Dynamical optimization using reduced order models: A method to guarantee performance. J. Process Control, first online, Mar. 2012.

  2. C. Andres*, J. Hasenauer*, F. Allgöwer, and T. Hucho. Threshold-free population analysis identifies large DRG neurons to respond stronger to NGF stimulation. PLoS ONE, 7(3):e34257, Mar. 2012.

  3. J. Hasenauer, S. Waldherr, M. Doszczak, N. Radde, P. Scheurich, and F. Allgöwer. Identification of models of heterogeneous cell populations from population snapshot data. BMC Bioinf., 12:125, Apr. 2011.

  4. J. Hasenauer, S. Waldherr, K. Wagner, and F. Allgöwer. Parameter identification, experimental design and model falsification for biological network models using semidefinite programming. IET Syst. Biol., 4(2):119-130, Mar. 2010.

*both authors contributed equally.
See Google Scholar for an independent publication summary.

 

→ Talks

 

→ Curriculum Vitae

 

Peer-Reviewing Activities

  1. Automatica

  2. BMC Systems Biology

  3. EURASIP Journal on Bioinformatics and Systems Biology

  4. IET Systems Biology

  5. Journal of Theoretical Biology