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Faculty of Mathematics



  • 2018-present: PhD student, DAMTP, University of Cambridge
  • 2015-2018: M.Sc. in Mathematics, University of Münster, Germany
  • 2012-2015: B.Sc. in Mathematics, University of Münster, Germany


Tamara is a member of the Department of Applied Mathematics and Theoretical Physics as part of the Cambridge Image Analysis research group and the Cantab Capital Institute for the Mathematics of Information. Her current research interests include inverse problems, image processing, non-linear spectral decomposition and deep learning. She is supervised by Prof. Carola-Bibiane Schönlieb.

Find the video on her most recent paper "Deeply Learned Spectral Total Variation Decomposition" here.


Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images
TG Grossmann, C-B Schönlieb, OD Rold
Can Physics-Informed Neural Networks beat the Finite Element Method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
Unsupervised Learning of the Total Variation Flow
TG Grossmann, S Dittmer, Y Korolev, C-B Schönlieb
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, CB Schönlieb
– Advances in Neural Information Processing Systems

Research Groups

Cambridge Image Analysis
Cantab Capital Institute for the Mathematics of Information
Centre for Mathematical Imaging in Healthcare




01223 763139