Patricia Römer

Patricia Römer is a doctoral student and scientific staff member at the Department of Mathematics, Technical University of Munich (TUM), School of Computation, Information and Technology, with dual affiliation at the Helmholtz Center Munich. Her research focuses on developing algorithms for phase retrieval in imaging applications with Poisson noise.

Her key research interests include:

• Phase retrieval and inverse problems
• Computational imaging under Poisson noise
• Optimization algorithms for low-dose imaging
• Mathematical recovery guarantees
• Ptychography and background removal techniques

Recent publications (2021–2024) demonstrate consistent advancement in phase retrieval methodologies, particularly for real-world imaging scenarios involving quantization and noise constraints, bridging theoretical mathematics with practical computational solutions.

Scientific awards:

• No awards documented

As a doctoral student, she does not advise students. No grants are referenced. She operates within TUM's Data Science research group and maintains active collaboration with the Helmholtz Center Munich on imaging projects.