Christopher M. Sandino (sandino@stanford.edu) received his B.S. degree in electrical engineering from the University of Southern California, Los Angeles, in 2015. He is a Ph.D. candidate in electrical engineering at Stanford University, California. His research focus is in applying deep-learning methods to dynamic magnetic resonance imaging techniques to reduce scan time and image artifacts. He is a recipient of the National Science Foundation Graduate Research Fellowship.