Christina Runkel

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

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 Geometric Deep Learning.

Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb

– MICCAI 2022

(2022)

Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization

C Runkel, C Etmann, M Möller, C-B Schönlieb

(2021)

Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction

C Runkel, S Dorenkamp, H Bauermeister, M Moeller

– 2020 25th International Conference on Pattern Recognition (ICPR)

(2020)

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