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Itai Gurvich received a B.Sc. in Industrial Engineering and a M.Sc in Operations Research from the Technion in Israel. He earned his PhD in Decision, Risk and Operations from Columbia University (School of Business) in 2008. Before joining Cornell in 2016 he spent eight years at the Operations Department at Kellogg School of Management, Northwestern University. His theoretical work focuses on applied probability and his main interest is the study of approximations for both performance analysis and optimization of queues, as well as for other stochastic systems. His applied research has to do with the understanding and improvement of service operations, particularly in healthcare delivery processes.
Itai's primary research interests lie in the performance analysis, the design, and the optimization of stochastic systems, primarily queueing (or service) networks. On the optimization and design front, he is concerned with capacity planning and with the design of processing networks robust to various uncertainties (such as the behavior of individual decision-makers). On the performance analysis front, he studies the robustness of simple tractable approximations. He has been more recently interested in healthcare which, with all its complexities and challenges, is particularly suitable for applying processing-network theory.
Itai is an Associate Editor in the area of stochastic modeling for both Management Science and Operations Research and he chairs the Special Interested Group (SIG) on Service Operations for the Manufacturing & Service Operations Management society of INFORMS. He has organized the Service SIG mini-conference in 2014 and co-chairs the 2017 Applied Probability Society conference.