As an associate professor at the Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, I conduct research in MRI. My focus is on tailoring each scan to the individual patient. With a background in physics, biomedical engineering and nanoscience, I work at the intersection of physics, engineering and medicine. My goal is to turn my research into technology that is used in practice.
Together with Physikalisch-Technische Bundesanstalt in Berlin, the Martinos Center at Massachusetts General Hospital in Boston, Universitätsklinikum Erlangen, Siemens Healthineers and Aarhus University Hospital, I develop AI-based, patient-specific MRI and new MRI hardware. The aim is to bring new MRI technology from the lab into the clinic, where it can benefit patients.
I develop new MRI methods and hardware, from the initial idea to testing on the scanner. Using optimal control theory and artificial intelligence, I calculate the best scanner settings in milliseconds rather than minutes. This enables hospitals to offer sharper, faster and safer scans. I also collaborate with industry, work on technology transfer and supervise early-career researchers.
