Gabriel Kalweit

Gabriel Kalweit is a Researcher at the Neurorobotics Lab, University of Freiburg, where he has been affiliated since 2017. He completed his doctoral thesis in 2022 at the university's Technical Faculty on reinforcement learning under advisors Joschka Boedecker and Martin Riedmiller. His research focuses on interdisciplinary applications of artificial intelligence, particularly in oncology, reinforcement learning, and medical imaging.

Research interests span:

• AI-optimized cancer therapy and treatment personalization
• Explainable AI methods for medical diagnostics
• Reinforcement learning for biological systems and robotics
• Computational pathology and cell analysis techniques

His recent publications demonstrate strong focus on medical AI applications, with 80% of 2023-2025 works involving oncology-related machine learning. Research frequently combines reinforcement learning with biomedical challenges like antibody design, therapy dosing, and tumor detection.

Awards/Honors:

• Nominated for IEEE ICRA Best Paper Award in Cognitive Robotics (2020) for work on affordance learning

Kalweit collaborates extensively within the Neurorobotics Lab and BrainLinks-BrainTools research center, with frequent co-authorship with Maria Kalweit, Joschka Boedecker, and oncology specialists. Current work emphasizes real-time adaptive cancer therapy systems and foundation models for medical imaging.