Werner Frank

Prof. Dr. Werner Frank holds the Chair of Mathematics IX (Inverse Problems) at the University of Würzburg. He is a leading researcher in statistical inverse problems, focusing on regularization theory, uncertainty quantification, and applications in biophysics, particularly fluorescence microscopy. His work bridges statistics and inverse problem methodologies with non-Gaussian noise analysis.

Education:

• PhD in Mathematics from Georg-August-Universität Göttingen (2012)
• Postdoctoral Research (2012–2014) at the Institute for Numerical and Applied Mathematics
• Group Leader, Statistical Inverse Problems in Biophysics, at the Max Planck Institute for Biophysical Chemistry (2014–2020)

Research Interests: Statistical inverse problem theory, multiscale scanning, minimax testing, super-resolution microscopy, and imaging techniques with statistical guarantees. His recent work emphasizes applications in biophysics and nanoscale imaging.

Publications: Over 30 peer-reviewed articles in top journals like Inverse Problems, Journal of the Royal Statistical Society, and SIAM Journal on Scientific Computing. Key topics include Poisson data regularization, ill-posed problem analysis, and variational methods for image denoising.

Affiliations: Active in professional societies such as the Society for Inverse Problems (GIP), IFIP Working Group 7.4, and the International Photonic Imaging Association (IPIA). Regular speaker at international conferences like Inverse Problems: Modeling and Simulation (IPMS) and Applied Inverse Problems (AIP).

Future Work: Expanding research on adaptive regularization methods, spatial statistical resolution in microscopy, and interdisciplinary collaborations in imaging science.