PhD
Computer Aided Medical Procedures and Augmented Reality at TUM
Boltzmannstraße 15, 85748
Garching bei München
Biosketch
Chen received her B.Sc. in Computer Science and Technology from Beijing University of Posts and Telecommunications (BUPT). She completed her M.Sc. in Informatics at the Technical University of Munich (TUM), graduating with high distinction. During her master’s studies, she worked on medical AI in collaboration with the German Heart Center Munich (DHM), focusing on multi-view coronary angiography analysis.
She joined relAI in 2026 and began her Ph.D. at the Chair for Computer Aided Medical Procedures and Augmented Reality (CAMP) at TUM, under the supervision of Prof. Nassir Navab. Her research focuses on anatomy-aware learning and surgical scene understanding.
relAI Research
My research focuses on anatomy-aware learning for surgical scene understanding. In minimally invasive surgery, the camera only captures a limited and dynamic field of view, while clinically relevant structures may be partially visible, occluded, or outside the current view. My work aims to combine visual evidence from surgical videos with anatomical knowledge and temporal context to build more reliable representations of the operative scene. The goal is to develop models that can reason about both visible and unseen anatomy, improve robustness under changing viewpoints, and provide context-aware assistance for safer surgical decision-making.