Attending Radiologist | Cardiovascular Imaging | AI & LLM Researcher | Group Leader | Python Enthusiast

I am a board-certified radiologist specializing in cardiovascular and oncological imaging, with a focus on integrating artificial intelligence and large language models into clinical practice and research. As an attending physician and group leader at the Technical University of Munich and the German Heart Center Munich, I combine clinical expertise with advanced computational methods to address key challenges in diagnostic and translational medicine.

• Medical AI: Deep learning for image analysis, segmentation, and diagnostic support in large-scale population cohorts (e.g., UK Biobank, NAKO)
• Body Composition & Epidemiology: Automated MRI/CT analysis for disease risk assessment and biomarker discovery
• LLMs in Medicine: Information extraction and automated structuring of radiology reports and clinical documentation
• Open Science: Promoting reproducibility, open data, and collaborative software development across institutions

• Deep Learning for Prostate and Kidney Cancer
  AI-based risk stratification and outcome prediction (COMFORT Project)
• Multimodal Foundation Models
  Large-scale integration of imaging and clinical data (DECIPHER-M)
• Deep Learning–Enabled MRI Phenotyping
  Automated segmentation and risk profiling in population cohorts
• Axial Spondyloarthritis Imaging
  AI-enhanced diagnosis of axSpA using MRI and X-ray
• LLM-Enabled Structuring of Radiology Reports
  Development and evaluation of LLM systems for information extraction, structuring, and workflow automation in radiology

I lead an interdisciplinary group at TUM and DHM (AIAH Lab), bringing together radiologists, data scientists, and students in collaborative research. Our group is committed to hands-on mentorship, open-source software, and translating innovation into clinical practice.

If you are interested in collaboration, contributing to our projects, or joining our team, feel free to reach out!