Frank Werner

Frank Werner is a Professor of Mathematics at the Chair of Scientific Computing, University of Würzburg, specializing in statistical inverse problems and regularization theory. His research bridges statistics and inverse problems, with applications in biophysics, particularly fluorescence microscopy and non-Gaussian noise modeling.

• Education: Diplom in Mathematics (2009) and PhD (2012) from Georg-August-Universität Göttingen.

Werner's research focuses on uncertainty quantification via minimax tests, nonlinear inverse problems, and photonic imaging. His recent work includes adaptive regularization methods and multiscale scanning techniques. He leads the Inverse Problems team and collaborates internationally, including at Fudan University, Technical University of Chemnitz, and the Max-Planck-Institut für biophysikalische Chemie (2014–2020).

His publications span journals like Inverse Problems, Annals of Statistics, and SIAM Journal on Numerical Analysis, with trends emphasizing Poisson data, impulsive noise, and computational algorithms for microscopy.

• Scientific Awards:
  • Diplomprüfung with Distinction (2009)
  • Erskine Fellowship (2023)

Werner is actively involved in academic service, organizing conferences (e.g., AIP2025 in Rio), and mentoring collaborations. He is married with two sons and maintains affiliations with societies like the EMS-TAG Inverse Problems and the Society for Inverse Problems.