Dawn Hustig-Schultz received her B.S. in Computer Engineering from the University of California, Davis in 2014 and her M.S. in Computer Engineering from the University of California, Santa Cruz in 2017. Her Master's thesis topic involved using genetic machine learning algorithms for whole-body control of robots composed of both rigid and soft materials, with many degrees of freedom. She is currently a Ph.D. student in the Department of Electrical and Computer Engineering at the University of California, Santa Cruz. Dawn works in the Hybrid Systems Laboratory. Her research interests include: hybrid systems, optimization, and accelerated gradient descent methods.