Career
- 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
Research
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.
Publications
Hidden Knowledge: Mathematical Methods for the Extraction of the
Fingerprint of Medieval Paper from Digital Images
(2023)
Can Physics-Informed Neural Networks beat the Finite Element Method?
(2023)
Unsupervised Learning of the Total Variation Flow
(2022)
Deeply learned spectral total variation decomposition
– Advances in Neural Information Processing Systems
(2020)
2020-December,
