I am a PhD student at the Machine Learning Group of Prof. Dr. Ulf Brefeld at the Leuphana University of Lüneburg. My master degree was in Management & Data Science at Leuphana University, my bachelor degree was in Psychology at Leuphana University. I am currently working on the KISS-KI project which concerns itself with the anomaly detection and protection of cyber-physical systems.

My main area of research is geometric deep learning, especially exploring Riemannian manifolds as latent spaces of deep learning models. One example of what is possible is expanding the possible geometries that can be used in models, an example is the Poincaré disc with individual curvature per dimension.

• Decomposing Neural Networks (W22)
• Applied statistics (Professional School) (S23, S24)

• S. Fadel, T. Paulsen, U. Brefeld. Exploring the Poincaré ellipsis. MLG@ECML, 2023.

• T. Paulsen, U. Brefeld. Studying properties of water data using manifold-aware anomaly detectors. DCS-Water, 2024.

• Teaching award for Decomposing Neural Networks (W22)