I am an assistant professor in computer science at TU München (W2 level), holding a Rudolf Moessbauer tenure-track professorship of the TUM Institute for Advanced Study (TUM-IAS). I am also a visiting research scientist of the Asclepios team at the Inria Sophia-Antipolis and of the computer vision lab at ETH Zurich, and a research affiliate of the medical computer vision group of CSAIL at MIT.
My research is in medical image computing, exploring topics at the interface of medical computer vision, image-based modeling and computational physiology. In this, I focus on applications in clinical neuroimaging and the modeling of tumor growth. My work strives towards transforming the descriptive interpretation of biomedical images into a model-driven analysis that infers properties of the underlying physiological and patho-physiological processes by using models from biophysics and computational physiology. I am also interested in how to apply such models to big data bases in order to learn about correlations between model features and disease patterns at a population scale.
I organized workshops at MICCAI, ISBI, NIPS and CVPR in the fields of medical computer vision and neuroimage processing, served as guest editor for Medical Image Analysis and as a member of the programm committee of MICCAI.
My work on translating computational methods from medical image analysis towards applications in Near Eastern Archaeology has been featured, for example, in Geo Magazin, Spiegel and Nature.