Career
2021-present: PhD student in Mathematics of Information, University of Cambridge, UK
2018-2021: M.Sc. in Computer Science, University of Siegen, Germany
2015-2018: B.Sc. in Computer Science, Baden-Württemberg Cooperative State University Mannheim, Germany
Research
Christina is a PhD student at the Cambridge Image Analysis Group within the Department of Applied Mathematics and Theoretical Physics. She is also a member of the Cantab Capital Institute for the Mathematics of Information. Her current research focusses on deep learning and (medical) image analysis.
Publications
Continuous Representations in Machine Learning - With applications to medical imaging and operator learning
(2025)
(doi: 10.17863/CAM.127146)
Training Data Reconstruction: Privacy Due to Uncertainty?
– IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
(2025)
00,
3502
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
(2024)
Continuous Learned Primal Dual
– 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
(2024)
00,
1
Continuous U-Net: Faster, Greater and Noiseless
– Transactions on Machine Learning Research
(2024)
2024,
Learning Posterior Distributions in Underdetermined Inverse Problems
(2023)
14009 LNCS,
187
(doi: 10.1007/978-3-031-31975-4_15)
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