Bio

Ziv Scully is an assistant professor at Cornell ORIE (Operations Research and Information Engineering). He completed his PhD in computer science at CMU in 2022, advised by Mor Harchol-Balter and Guy Blelloch, and obtained his BS from MIT in 2016. Between graduating from CMU and starting at Cornell, Ziv was a research fellow at the UC Berkeley Simons Institute, participating in the Data-Driven Decision Processes program; and then an NSF FODSI postdoc at Harvard SEAS and MIT CSAIL, mentored by Michael Mitzenmacher and Piotr Indyk.

Broadly, Ziv researches the theory of decision making under uncertainty, with a particular emphasis on scheduling and dispatching in queueing systems, as motivated by the needs of cloud computing data centers and service systems. Recently, he has been working on applying ideas from stochastic control to improve Bayesian optimization algorithms.

Ziv’s work has been recognized by awards from INFORMS, ACM SIGMETRICS, and IFIP PERFORMANCE, including winning the 2022 George Nicholson Student Paper Competition and receiving the 2022 SIGMETRICS Doctoral Dissertation Award.