computational
modeling in biology

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Dominik Wittmann

Dipl. Math.
PhD student


Tel.: +49 (0) 89 3187 3385
Room: 151


Research

  • Generalizations of Boolean logic models
  • Quantification of discrete models
  • Gene regulation the Mid-/hindbrain boundary
  • Parameter fitting in biological systems

 

Publications

  • Wittmann DM, Marr C and Theis FJ. Biologically meaningful update rules increase the critical connectivity of generalized Kauffman networks, J Theor Biol 266(3), 2010
  • Ansorg M, Blöchl F, zu Castell W, Theis FJ and Wittmann DM. Gene regulation at the mid-hindbrain boundary: Study of a mathematical model in the stationary limit, Int J Biomath and Biostat, International Journal for Biomathematics and Biostatistics 1, 2010.
  • Blöchl F, Wittmann DM (equal contributor) and Theis FJ. Effective parameters determining the information flow in hierarchical biological systems. Bull Math Biol, accepted
  • Krumsiek J, Pölsterl S, Wittmann DW and Theis FJ. Odefy - From discrete to continuous models. BMC Bioinf, 11:233, 2010
  • Wittmann DM, Blöchl F, Trümbach D, Wurst W, Prakash N and Theis FJ. Spatial Analysis of Expression Patterns Predicts Genetic Interactions at the Mid-Hindbrain Boundary. PLoS Comput Biol 5:11, 2009 [PubMed]
  • Wittmann DM, Krumsiek J, Saez-Rodriguez J, Lauffenburger DA, Klamt S and Theis FJ. Transforming Boolean Models to Continuous Models: Methodology and Application to T-Cell Receptor Signaling. BMC Syst Biol 3:98, 2009 [PubMed]
  • Wittmann DM, Schmidl D, Blöchl F and Theis FJ. Reconstruction of graphs based on random walks. J Theor Comput Sci 410, 2009

 

Curriculum Vitae

Dominik Wittmann studied mathematics at the University of Regensburg and at Brandeis University. He also took economics and actuarial sciences as minor subjects. Of particular interest to him were Number Theory and Algebraic Geometry. His diploma thesis is about Igusa zeta functions of Fermat Varieties.

He graduated in 2007 and is currently working as a PhD student at the Institute of Bioinformatics and Systems Biology, located at the Helmholtz Research Center Munich.