After obtaining a Master degree in Biomedical Engineering at the Ilmenau University of Technology, I completed a PhD on multimodal imaging at the University Children’s Hospital and ETH Zurich, Switzerland. In 2014 I joined the Centre for Advanced Imaging at the University of Queensland as a National Imaging Facility Fellow, where I pioneered the application of deep learning methods for quantitative imaging techniques, in particular Quantitative Susceptibility Mapping, in the group of Prof Markus Barth.
In 2019 I joined the Siemens Healthineers collaborations team at the MGH Martinos Center in Boston during a 1 year industry exchange where I worked on the translation of fast imaging and deep learning reconstruction techniques into clinical applications.
Since joining the School of Information Technology and Electrical Engineering at the University of Queensland in 2020 I am developing computational methods to extract clinical and biological insights from quantitative magnetic resonance imaging data. My aim is to make these cutting-edge tools available to a wide range of clinicians and researchers to enable better images, faster reconstruction times and the efficient extraction of relevant information.