Reinforcement learning for hospital admissions

Deep reinforcement learning to plan patient admissions for bed occupancy and revenue, and the integration of that process across the parties of a Swiss rehabilitation centre. Done as a research assistant at FHNW and published as two first-author conference papers (IEEE ISCBI 2025, IFAC-PapersOnLine 2025).