Data, Models, and Decisions

This course is designed to introduce first-year MBA students to the fundamental quantitative techniques of using data to make informed management decisions.
 

David Gamarnik is the Nanyang Technological University Professor of Operations Research at the MIT Sloan School of Management. His research interests include applied probability and stochastic processes with application to queuing theory, theory of random combinatorial structures and algorithms, scheduling, and various business processes, including call centers, manufacturing, and communications networks.

Gamarnik has served as a research staff member at the Department of Mathematical Sciences, IBM Research, where he worked on various projects with industrial applications, including disaster recovery, performance in business processes, call centers, and operational resilience.

Gamarnik is a member of the Institute of Mathematical Statistics, Bernoulli Society, INFORMS, and the American Mathematical Society, and serves on the editorial board of both Operations Research and the Annals of Applied Probability. He is the recipient of the 2004 Erlang Prize from the INFORMS Applied Probability Society, as well as two National Science Foundation grants in 2007.

Gamarnik holds a BA in Mathematics from New York University and a PhD in Operations Research from MIT.

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