Adam Elmachtoub is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University, where he is also a member of the Data Science Institute. In 2014-2015, he spent one year at the IBM T.J. Watson Research Center working in the area of Smarter Commerce. His research currently focuses on designing new approaches for supply chain and revenue management, especially where the two areas collide. More broadly, he is interested in leveraging data to make informed decisions in industries such as retail, logistics, and travel. He previously received his B.S. degree from Cornell in 2009 and his Ph.D. from MIT in 2014, both in operations research. In 2016, he received an IBM Faculty Award and was one of Forbes 30 under 30 in science.

For more information, please see his CV, Google Scholar page, or this article.


Static Pricing: Universal Guarantees for Reusable Resources, with O. Besbes and Y. Sun

The Value of Personalized Pricing, with V. Gupta and M. L. Hamilton

Smart "Predict, then Optimize", with P. Grigas

The Power of Opaque Products in Pricing, with M. L. Hamilton
Submitted. Accepted in The 13th Conference on Web and Internet Economics (WINE), 2017.

Retailing with Opaque Products, with Y. Wei

A Practical Method for Solving Contextual Bandit Problems Using Decision Trees, with R. McNellis, S. Oh, and M. Petrik
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), 2017

Supply Chain Management with Online Customer Selection, with R. Levi
Operations Research, Vol. 64(2), p. 458-473, 2016

The Submodular Joint Replenishment Problem, with M. Cheung, R. Levi, and D. B. Shmoys
Mathematical Programming, Vol. 158(1), p. 207-233, 2016

From Cost Sharing Mechanisms to Online Selection Problems, with R. Levi
Mathematics of Operations Research, Vol. 40(3), p. 542-557, 2015

Maximizing the Spread of Cascades Using Network Design, with D. Sheldon, B. Dilkina, R. Finseth, A. Sabharwal, J. Conrad, C. Gomes, D. Shmoys, W. Allen, O. Amundsen, B. Vaughan
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI), p. 517-526, 2010

From Random Polygon to Ellipse: An Eigenanalysis, with C. F. van Loan
SIAM Review, Vol. 52(1), p. 151-170, 2010


I have the pleasure of working with some fantastic students at Columbia. If you are interested in becoming a student, please apply here.

Ph.D. Students

Michael Hamilton

Yunjie Sun

Ryan McNellis

Yeqing Zhou

Xiao Lei


IEOR 4418, Transportation Analytics and Logistics, Fall 2016, Spring 2018, 2019

IEOR 4574, Business Analytics for Operations Research, Spring 2016, 2017 (x2), 2018 (x2), 2019 (x2)

IEOR 8100, Supply Chain Management: Classics and Recent Trends, Spring 2016