Göttingen Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences

Jun.-Prof. Dr. Anne Wald

Juniorprofessor, Institute for Numerical and Applied Mathematics


  • 2006 – 2012: studies in Mathematics, Saarland University
  • 2006 – 2013: studies in Physics, Saarland University
  • 2013 – 2017: Doctoral studies, Saarland University; supervision by Thomas Schuster
  • 2017: Dr. rer. nat. in Mathematics, Saarland University
  • 2017 – 2020: Postdoc at Saarland University and the University of Helsinki
  • since 2020: Juniorprofessor, Institute for Numerical and Applied Mathematics, University of Göttingen
  • since 2022: Principal Investigator in CRC 1456 Mathematics of Experiment and in RTG 2756 Cytoskeletal Elements of Active Matter



Major Research Interests


    Inverse problems in the natural sciences and engineering, especially nonlinear and time-dependent problems and their regularization:
  • fast regularization via sequential subspace optimization and related methods
  • parameter identification for partial differential equations
  • tomographic X-ray imaging on multiple scales
  • terahertz tomography
  • inverse problems in cell physics, particularly with an application in rheology
  • inverse problems with inexact forward operator and their stable solution, determination of modeling inexactness
  • applications of deep learning in inverse problems




Homepage Department/Research Group

https://amns.math.uni-goettingen.de/


Selected Recent Publications



  • Kaltenbacher B, Nguyen T T N, Wald A, and Schuster T. Parameter Identification for the Landau-Lifshitz-Gilbert Equation in Magnetic Particle Imaging. In Time-Dependent Problems in Imaging and Parameter Identification, edited by B. Kaltenbacher, T. Schuster, and A. Wald, 377--412. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-57784-1_13

  • Blanke S E, Hahn B N, and Wald A. Inverse Problems with Inexact Forward Operator: Iterative Regularization and Application in Dynamic Imaging. Inverse Problems 36, 124001. https://doi.org/10.1088/1361-6420/abb5e1

  • Wald A. A fast subspace optimization method for nonlinear inverse problems in Banach spaces with an application in parameter identification. Inverse Problems 34, 085008. doi: https://doi.org/10.1088/1361-6420/aac8f3

  • Wald A and Schuster T. Terahertz Tomographic Imaging Using Sequential Subspace Optimization. In: New Trends in Parameter Identification for Mathematical Models, B. Hofmann, A. Leitao, J.P. Zubelli (Eds.), Trends in Mathematics, Birkhäuser Basel. doi: https://doi.org/10.1007/978-3-319-70824-9_14

  • Wollrab V, Thiagarajan R, Wald A, Kruse K, and Riveline D. Still and Rotating Myosin Clusters Determine Cytokinetic Ring Constriction. Nature Communications 7, 11860. doi: https://doi.org/10.1038/ncomms11860