Thomas Wendler is Professor for Clinical Computational Medical Imaging Research at the Faculty of Medicine of the University of Augsburg and the University Hospital of Augsburg. Trained as an Electronic Engineer (Universidad Técnica Federico Santa María) with an M.Sc. in Medical Technology and a doctorate in Natural Sciences (Dr. rer. nat., summa cum laude, Technical University of Munich), he pursues research at the intersection of medical image computing, machine learning and clinical translation, building on nearly two decades of complementary experience in academia and the medical-device industry. His research programme is structured around three interlocking directions: - Longitudinal and dynamic image analysis. Methods for quantifying disease progression and treatment response over time, from longitudinal CT/MRI registration and analysis to dynamic PET tracer-kinetic modelling, and for reconstructing volumetric information from tracked 2D+t acquisitions through anatomy-informed image compounding. - Multimodal data analysis for clinical prediction. Integration of imaging with non-image data (clinical, laboratory, and molecular information) to support therapy selection, risk assessment and outcome prediction. - Clinical deployment of medical machine-learning tools. Translation of models into validated tools for research and clinical routine, with an emphasis on robustness, reliability and quality control as prerequisites for trustworthy use in the imaging workflow.