Maria Kalweit

Dr. Maria Kalweit is a postdoctoral researcher at the Institute of Computer Science, Albert-Ludwigs-Universität Freiburg. Her work focuses on artificial intelligence applications in healthcare, oncology, and autonomous systems. She co-leads projects on AI-driven cancer treatment optimization, medical imaging analysis, and reinforcement learning for autonomous driving. She holds the Gips-Schüle-Nachwuchspreis (2024) and Wolfgang-Gentner-Nachwuchsförderpreis (2023), and contributed to a Best Paper Award at IJCNN 2018.

Her research spans interdisciplinary collaborations with clinicians and engineers, including cell similarity search in oncology, B-cell repertoire analysis for lymphoma, and AI models for rheumatoid arthritis treatment. She teaches courses like Machine Learning in Health and Reinforcement Learning, and supervises over 15 students in topics like medical AI and reinforcement learning frameworks.

• Key Projects: Foundation Model Zoo for oncological microscopy, Salvage explainable learning framework, CellMixer segmentation
• Grants: Collaborations on AI-driven immunology and medical AI ethics
• Labs: Part of the Boedecker Lab, working on healthcare AI and autonomous systems