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Research student: The Institute for Mathematical Stochastics (research group Prof. Axel Munk)  is looking for a student assistant (20-60 h/months) in the project A1 of the RTG 2088. More information is available here.

Dr. Ivo Siekmann
Foto Dr. Ivo Siekmann

Institut für Mathematische Stochastik

Goldschmidtstrasse 7
37077 Göttingen

Room:Raum 5.107: Goldschmidtstr. 7 (Informatik u.Stochastik), Gebaeude Informatik/Stochastik
Phone:+49 551 39 172127
Curriculum vitae

Academic Employment

  • since 2016:  DAAD grant holder and Collaborative Research Centre 803 ?Functionality in and between membranes?, SFB 803, project Z02,  (Prof. Axel Munk), Felix Bernstein Institute for Mathematical Statistics in the Biosciences, Georg August University Göttingen, Germany
  • 2013-2015: Systems Biology group (Prof. Edmund Crampin),
    The University of Melbourne and National ICT Australia (NICTA), Australia
  • 2009-2013: Auckland Bioengineering Institute (ABI) and Department of Mathematics (Prof. James Sneyd and Dr. Edmund Crampin), The University of Auckland, New Zealand
  • 2006-2009: Institute for Environmental Systems Research (USF), Osnabrück, Germany


  • 2009: Dr. rer. nat (Grade: summa cum laude), Dissertation: Mathematical modelling of pathogen-prey-predator interactions, PhD advisor: Prof. Horst Malchow, Osnabrück, Germany
  • 2006: Diploma Pure Mathematics (Grade: gut (good)), Dissertation: Elliptic curve cryptography, Advisors: Prof. Winfried Bruns and Prof. Tim Römer, Osnabrück, Germany
  • 2005: Diploma Applied Systems Science (Grade: sehr gut (excellent)), Dissertation: Agent-based modelling of differences in personality based upon PSI theory, Advisors: Prof. Julius Kuhl and Prof. Claudia Pahl-Wostl

Awards and honours

  • 2016: DAAD grant for German scientists returning from overseas "calmodyn?The role of modal gating in spatio-temporal calcium dynamics"
  • 2013: Elsevier Certificate of Excellence in Reviewing ?in recognition of an outstanding contribution for the quality of the journal Ecological Complexity?
  • 2010: Deutscher Studienpreis (Körber-Stiftung), one of nine finalists
  • 2008: DAAD short-term scholarship (2 months) for a visit to Prof. Ehud Meron, Ben
    Gurion University, Beersheva, Israel

Selected Publications

  • Siekmann, I., Fackrell, M., Taylor, P. and Crampin, E. J. (2016).
    Modelling modal gating in ion channels with hierarchical Markov models. Proceedings of the Royal Society of London A, 472, 20160122.
  • Siekmann, I. and Malchow, H. (2016).
    Fighting Enemies and Noise: Competition of Residents and Invaders in a Stochastically Fluctuating Environment. Mathematical Modelling of Natural Phenomena (MMNP), 11(5), 120-140.
  • Siekmann, I., Cao, P., Sneyd, J. and Crampin, E. J. (2015).
    Data-driven modelling of the inositol-trisphosphate receptor (IPR) and its role in calcium dynamics. Invited book chapter for "Modeling Methods in Neuron-Glia Interactions", de Pittà, M. and Berry, H. (eds.). Accepted.
  • Rajagopal, V., Bass, G. Walker, C. G., Crossman, D., Petzer, A., Hickey, A., Siekmann, I., Hoshijima, M., Ellisman, M. H., Crampin, E. J. and Soeller, C. (2015).
    Examination of the effects of heterogeneous organization of RyR clusters, myofibrils and mitochondria on Ca2+ release patterns in cardiomyocytes. PLoS Computational Biology, 11(9), e1004417.
  • Siekmann, I., Sneyd, J. and Crampin, E. J. (2014).
    Statistical analysis of modal gating in ion channels. Proceedings of the Royal Society of London A, 470, 20140030.
  • Siekmann, I. Wagner II, L. E., Yule, D., Crampin, E. J. and Sneyd, J. (2012).
    A kinetic model of type I and type II IP3R accounting for mode changes. Biophysical Journal, 103(4), 658?668.
  • Siekmann, I., Crampin, E. J. and Sneyd, J. (2012).
    MCMC can detect non-identifiable models. Biophysical Journal, 103(11), 2275?2286.
  • Siekmann, I., Wagner II, L. E., Yule, D., Crampin, E. J. and Sneyd, J. (2011).
    MCMC estimation of Markov models for ion channels. Biophysical Journal, 100(8), 1919?1929.

Complete List: