Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences

Munk, Axel, Prof. Dr.


  • 1992: Mathematics, University of Göttingen, Diploma, Prof. Dr. Manfred Denker
  • 1994: Conferral of doctorate: Mathematics, University of Göttingen, Prof. Dr. Manfred Denker
  • 1994: PostDoc SFB 373 'Diskrete Structures in Mathematics', University of Bielefeld
  • 1995: DFG Research Fellowship: University of Dresden, Cornell, The Wharton School, Philadelphia
  • 1996-2000 Assistant Professor, Ruhr University Bochum
  • 1999: Habilitation: Mathematics, Ruhr University Bochum
  • 2000: Associate Professor for Statistics, University of Siegen
  • 2000-2002: Associate Professor for Applied Mathematics, University of Paderborn
  • 2002-2008: Chair for Mathematical Stochastics, University of Göttingen
  • since 2009: Felix Bernstein Professor for Mathematical Statistics, University of Göttingen
  • since 2010: Max Planck Fellow at the Max Planck Institute for biophysical Chemistry, Göttingen



Major Research Interests
I am interested in the development of methods for extracting relevant information from data. This data are complex and often arise from collaborations with lab scientists. My research in mathematical statistics is concerned with tools to equip such methods with statistical error control. The challenge is to make them computationally feasonable at the same hand.
Mathematical Statistics
Statistical inverse problems, nonparametric regression, statistical imaging and signal recovery, multiscale testing and estimation, qualitative inference, shape analysis, optimal transport.
Computational Statistics
fast segmentation algorithms, motion estimation, resampling
Statistics in Biophysics
Statistical methods for single molecule experiments, ion channel recordings, nanoscale fluorescence microscopy. My work on Nanostatistics has been highlighted in the Research Features Magazine.
Other areas of application I have been involved include
Clinical trials: Bioequivalence and noninferiority trials.
Econometrics: microstructure noise models.
Pattern recognition: Analysis of fingerprints.

Homepage Department/Research Group
http://www.stochastik.math.uni-goettingen.de/munk

ORCID: 0000-0002-9181-9331