Timme, Marc, Prof. Dr.

  • 1994 – 1999 Undergraduate and graduate studies of Physics at the University of Würzburg and the State University of New York at Stony Brook
  • 1998 Master of Arts in Physics (SUNY Stony Brook)
  • 2002 Dr. rer. nat in Theoretical Physics (University of Göttingen)
  • 1999 – 2002 Research Associate, Max Planck Institute for Flow Research, Göttingen
  • 2003 Visiting Scientist, Dept. of Mathematical Science, University of Exeter, UK
  • 2003 – 2005 Post-Doc, Max Planck Institute for Dynamics & Self-Organization, Göttingen
  • 2005 – 2006 Research Scholar, Center for Applied Mathematics, Cornell University, USA
  • 2007 – 2015 Head of Max Planck Research Group Network Dynamics
  • since 2009 Adjunct Professor and Faculty Member, Institute for the Dynamics of Complex Systems, University of Göttingen
  • 2009 Visiting Senior Researcher, CNR – National Research Center, Sesto Fiorentino, Italy
  • 2009 Visiting Senior Researcher, CNR – National Research Center, Sesto Fiorentino, Italy
  • since 2016 Senior Researcher, Max Planck Institute for Dynamics & Self-Organization, Göttingen
  • 2016 – 2017 Visiting Professor, TU Darmstadt
  • 2017 Visiting Faculty, ETH Zurich, Switzerland
  • since 2017 Strategic Professor & Chair for Network Dynamics, TU Dresden

Major Research Interests
We develop and use methods of Statistical Physics, Nonlinear Dynamics, Stochastic Processes and Time Series Analysis to investigate cooperative phenomena on large networks:

  • Theoretical Neuroscience: exact dynamics of spiking neural networks; methods for detecting precise timing in experimental data.
  • Statistical Physics and Graph Theory: Random Matrix Theory and applications; reversible aggregation phenomena (explained by developing a unifying theory); developing symbolic algorithms for invariant polynomials of large graphs (an NP-complete problem).
  • Dynamical Systems: theory of Unstable Attractors; high-dimensional systems; synchronization; topology - dynamics relations in complex networks; artificial computation by exploiting instabilities.

Homepage Department/Research Group

Selected Recent Publications

  • Casadiego J, Maoutsa D, Timme M (2018) Inferring network connectivity from event timing patterns. Phys. Rev. Lett. 121:054101

  • Schäfer, Beck C, Aihara K, Witthaut D, Timme M (2018) Non-Gaussian Power Grid Frequency Fluctuations Characterized by Lévy-stable Laws and Superstatistics. Nature Energy 3:119

  • Casadiego J, Nitzan M, Hallerberg S, Timme M (2017) Model-free Inference of Direct Network Interactions From Nonlinear Collective Dynamics. Nature Comm. 8:2192

  • Nitzan M, Casadiego J, Timme M (2017) Revealing network topology from statistics of collective dynamics. Science Adv. 3:e1600396

  • Kirst C, Timme M, Battaglia D (2016) Dynamic information routing in complex networks. Nature Comm. 7:11061