Daniel Rückert

Prof. Dr. Daniel Rückert is the Alexander von Humboldt Professor for Artificial Intelligence at the Technical University of Munich, where he leads the Lab for AI in Medicine. His work bridges computer science, engineering, and medicine to develop AI and machine learning techniques for biomedical data analysis, with a focus on clinical translation.

• Research Pillars: Biomedical Imaging, Trustworthy AI, Medical Image Computing
• Clinical Applications: Dementia, Cardiovascular Disease, Cancer, Traumatic Brain Injury

Research Focus:
Develops AI methodologies for medical imaging workflows (image reconstruction, registration, segmentation) and clinical translation. Key areas include:

• AI for early disease detection and diagnosis
• Personalized therapies using multimodal data
• Privacy-preserving AI systems
• Cardiac/Neuroimaging applications

Scientific Awards:

• ERC Synergy Grant (2013) & Advanced Grant (2020)
• Fellowships: British Computer Society (2010), MICCAI (2014), Royal Academy of Engineering (2015), IEEE (2015), Academy of Medical Sciences (2019), IAMBE (2020)
• Alexander von Humboldt Professorship (2020)

Research Projects:
Collaborations with Cornell University and University of Oxford on topics like:

• Hyperspectral neuronavigation for brain tumor surgery
• Super-resolution MRI techniques
• Longitudinal aging pattern analysis
• Medical report generation from clinical conversations