Ziv Scully is a graduate student in Computer Science at CMU advised by Mor Harchol-Balter and Guy Blelloch. He graduated from MIT in 2016 with a BS in Mathematics with Computer Science. He is the recipient of an NSF Graduate Fellowship and an ARCS Foundation scholarship. Ziv’s research focus is optimizing and analyzing computer systems and algorithms from a stochastic perspective, including job scheduling, load balancing, combinatorial optimization under uncertainty, and parallel algorithms. Recent publications of his have been recognized with awards from ACM SIGMETRICS (Best Paper Award, 2021; Best Video Award, 2020; Outstanding Student Paper Award, 2019), IFIP PERFORMANCE (Best Student Paper Award, 2018), and the INFORMS Applied Probability Society (Best Student Paper Prize finalist, 2018). During the COVID-19 pandemic, he served as an algorithms consultant for the NOVID exposure-notification project.