Adam Elmachtoub


535F S.W. Mudd

Tel(212) 853-0686

Adam Elmachtoub focuses on designing new approaches for supply chain and revenue management, especially where the two areas collide. He has designed new algorithms for managing inventory and pricing decisions under various complex environments. 

Research Interests

Supply chains, logistics, pricing, data-driven optimization, machine learning

Research Areas

His research also leverages data to facilitate informed decisions in industries such as retail, logistics, and travel. One research stream focuses on the use of opaque products, which is a product where one or more of the attributes are hidden until after purchase. Opaque products can be used as a vehicle for price discrimination and inventory balancing, and he has shown that these advantages may be quite significant under various settings. In another research stream, he studies how data can be used intelligently in operations and pricing problems. His work provides algorithms that can utilize data seamlessly to make near-optimal decisions in these environments.

Elmachtoub received his BS degree from Cornell in 2009 and his PhD from the Massachusetts Institute of Technology in 2014, both in operations research. In 2014-2015, he spent one year at the IBM T.J. Watson Research Center working in the area of Smarter Commerce. He joined the faculty of Columbia Engineering in 2015.                   


  • Postdoctoral Researcher in Smarter Commerce, business analytics and mathematical sciences, IBM T.J. Watson Research Center, August 2014 - July 2015


  • Assistant professor of industrial engineering and operations research, Columbia University, 2015 –
  • Data Science Institute, Columbia University, 2015 – 


  • Institute for Operations Research and the Management Sciences (INFORMS)
  • Mathematical Optimization Society (MOS)


  • Forbes 30 under 30 in science, 2016
  • IBM Faculty Award, 2016


  • N. Elmachtoub and R. Levi. Supply Chain Management with Online Customer Selection. Operations Research, Vol. 64(2), p. 458-473, 2016.
  • M. Cheung, A. N. Elmachtoub, R. Levi, and D. B. Shmoys. The Submodular Joint Replenishment Problem. Mathematical Programming, Vol. 158(1), p. 207-233, 2016.
  • N. Elmachtoub and R. Levi. From Cost Sharing Mechanisms to Online Selection Problems. Mathematics of Operations Research, Vol. 40(3), p. 542-557, 2015.