I am an Assistant Professor of Computer Science and of Medicine at TU München (W2 level), holding a Rudolf Moessbauer tenure-track professorship of the TUM Institute for Advanced Study (TUM-IAS). Since 2014, I am heading the Image-based Biomedical Modeling group at the TUM Institute of Medical Engineering (IMETUM). Before, I was member of the Asclepios team at the Inria Sophia-Antipolis, the Computer Vision Lab at ETH Zurich, and the Medical Computer Vision group of CSAIL at MIT. I received a PhD degree from Heidelberg University, working at the IWR.
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, as a member of the programm committee and as a satellite event co-chair of MICCAI, and I am a member of the editorial board of Medical Image Analysis. I received the MedIA-MICCAI Award for the best paper of MICCAI 2014, and the Young Scientist Publication Impact Award at MICCAI 2015.
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.