Career

• 2024-present: Research Associate, DAMTP, Univeristy of Cambridge
• 2018-2023: 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.

She has published work and wrote her PhD thesis on deep learning approaches for PDE-based image analysis (e.g. spectral TV decomposition and TV flow) and applied her work to cultural heritage applications. She additionally published a paper on the comparison of the finite element method and physics-informed neural networks for the solution approximation of PDEs.

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

Additionally, Tamara is co-founder and co-organiser of Her Maths Story, a platform that promotes women in mathematics and beyond by regularly sharing the stories of women mathematicians.