I worked as a systems engineer on some of the first commercial magnetic resonance imaging (MRI) scanners at GE Healthcare. I then returned for his doctorate at Stanford, specializing in fast acquisition MR methodology. As a faculty member in Biomedical Engineering at UW-Madison since the year 2000, my laboratory develops, implements, and analyzes novel MRI acquisition, reconstruction, and visualization strategies that dramatically shorten and simplify MRI. My lab’s primary focus today is in using MRI to guide transformative, minimally invasive treatments in the brain, primarily using intraparenchymal delivery to bypass the blood brain barrier. This work utilizes aspects of signal processing, machine learning, mechanical engineering, biophysics, and image processing.