I am Instructor of Radiology at the Martinos Center, Harvard Medical School (supported by a NIH K99/R00 Career Development Award) and Research Affiliate with the Computer Science and Artificial Intelligence Lab (CSAIL) at the Massachusetts Institute of Technology, where I design novel computational imaging methods for radiology. Previously, I was a Postdoctoral Scholar in the Department of Electrical Engineering, Stanford University, where I worked on computational imaging and model compression. I received my PhD in electrical engineering from the University of New South Wales, Sydney, NSW, Australia. My research expertise lies in the design of novel methods for computational imaging and, in particular, 3D image reconstruction and related inverse problems in medical imaging. In 2018, I received the Australian Pattern Recognition Society (APRS)’s best paper award for my work on “fast optical flow extraction from compressed video”.