David D. Gamarnik

Faculty

David D. Gamarnik

About

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.

Publications

"Delay, Memory, and Messaging Tradeoffs in Distributed Service Systems."

Gamarnik, David, John N Tsitsiklis, and Martin Zubeldia. Stochastic Systems. Forthcoming.

"Finding a Large Submatrix of a Gaussian Random Matrix."

​Gamarnik, David, and Quan Li. Annals of Statistics. Forthcoming.

"Join the Shortest Queue with Many Servers. The Heavy Traffic Asymptotics."

​Eschenfeldt, Patrick, and David Gamarnik. Mathematics of Operations Research. Forthcoming.

"Learning Graphical Models from the Glauber Dynamics."

Bresler, Guy, David Gamarnik, and Devavrat Shah. IEEE Transactions on Information Theory. Forthcoming.

"Effect of Match-run Frequencies on the Number of Transplants and Waiting Times in Kidney Exchange."

Ashlagi, Itai, Adam Bingaman, Maximilien Burq, Vahideh Manshadi, David Gamarnik, Cathi Murphey, Alvin E. Roth, Marc L. Melcher, and Michael A. Rees. American Journal of Transplantation Vol. 18, No. 5 (2018): 1177-1186.

"High-dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transition."

David Gamarnik and Ilias Zadik. In Volume 65: Proceedings of the 2017 Conference on Learning Theory, Amsterdam, Netherlands: July 2017.

Load More