- Graduate Field Affiliations
- Applied Mathematics
- Computer Science
- Operations Research and Information Engineering
Biography
Ziv Scully joined the faculty at Cornell ORIE in 2023. He completed his Ph.D. in Computer Science at Carnegie Mellon University in 2022, and obtained his B.S. from MIT in 2016. Between graduating from CMU and starting at Cornell, Ziv was a research fellow at the UC Berkeley Simons Institute, and then a postdoc at Harvard SEAS and MIT CSAIL.
Research Interests
Ziv researches the theory of decision making under uncertainty, including stochastic control, resource allocation, and performance evaluation. A particular emphasis of his work is scheduling and load balancing in queueing systems, as motivated by the needs of cloud computing data centers and service systems.
- Applied Probability
- Information Technology Modeling
- Statistics and Machine Learning
- Algorithms
Select Publications
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Scully, Ziv, Isaac Grosof, and Michael Mitzenmacher. 2022. “Uniform Bounds for Scheduling with Job Size Estimates.” Presented at ITCS 2022.
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Scully, Ziv, Isaac Grosof, and Mor Harchol-Balter. 2020. “The Gittins Policy Is Nearly Optimal in the M/G/k under Extremely General Conditions.” Presented at SIGMETRICS 2021.
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Scully, Ziv, Mor Harchol-Balter, and Alan Scheller-Wolf. 2018. “SOAP: One Clean Analysis of All Age-Based Scheduling Policies.” Presented at SIGMETRICS 2018.
Select Awards and Honors
- SIGMETRICS Doctoral Dissertation Award 2022
- INFORMS George Nicholson Student Paper Competition Winner 2022
- SIGMETRICS Best Paper Award 2021
- SIGMETRICS Outstanding Student Paper Award 2019
- Performance Best Student Paper Award 2018
- INFORMS Applied Probability Society Best Student Paper Prize Finalist
Education
- Ph.D. (Computer Science), Carnegie Mellon University 2022
- M.S. (Computer Science), Carnegie Mellon University 2020
- B.S. (Mathematics with Computer Science), Massachusetts Institute of Technology 2016