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
Operator learning regularization for macroscopic permeability prediction
in dual-scale flow problem
(2024)
Continuous U-Net: Faster, Greater and Noiseless
– Transactions on Machine Learning Research
(2024)
2024,
Continuous Learned Primal Dual
– IEEE International Workshop on Machine Learning for Signal Processing, MLSP
(2024)
00,
1
Learning Posterior Distributions in Underdetermined Inverse Problems
(2023)
14009 LNCS,
187
(doi: 10.1007/978-3-031-31975-4_15)
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
– Lecture Notes in Computer Science
(2022)
13433,
717
(doi: 10.1007/978-3-031-16437-8_69)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer
Classification
– MICCAI 2022
(2022)
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient
Spectral Normalization
(2021)
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