I am a post-doctoral researcher working in the magnetic resonance physics group at WIN. My work focusses on methods for image reconstruction from sub-sampled acquisitions with compressed sensing and deep learning. Currently I am developing self-supervised methods, where a neural network is trained to reconstruct images from sub-sampled examples only.
I completed my doctorate jointly at the Mathematical Institute and the Oxford Centre for Clinical Magnetic Resonance (OCMR) at the University of Oxford. My doctorate was partially funded by an industrial studentship with Siemens, and I spent 6 months working at the Siemens office in New Jersey, USA.