David Alan Goldberg

David Alan Goldberg

Associate Professor
Operations Research and Information Engineering
230 Frank H.T. Rhodes Hall
Associate Director, Undergraduate Studies
Operations Research and Information Engineering


David A. Goldberg joined the School of Operations Research and Information Engineering (ORIE) at Cornell as an Associate Professor in August 2017. Previously, he had been the A. Russel Chandler III Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech. He received his Ph.D. in Operations Research at MIT in 2011, and his B.S. in Computer Science (minors in Operations Research and Applied Math) from Columbia University in 2006.

Research Interests

Goldberg's research is in applied probability and stochastic processes, on topics including optimal stopping, inventory and queueing models, combinatorial optimization, and robust optimization.  He uses tools from probability to develop novel algorithms and insights into fundamental models previously believed intractable, e.g. due to the curse of dimensionality, arising in many applications.

Teaching Interests

Professor Goldberg runs a large-scale undergraduate research program at Cornell, connecting students to high-impact real-world applications of OR and data science, and providing students training in leadership, communication, and teamwork.  Professor Goldberg has also taught undergraduate level courses in probability modeling, statistics, and data science; supply chain modeling; online learning; and dynamic programming.  He teaches a 1-credit "Academic Street Smarts" course for first-year PhD students at Cornell ORIE, and has taught PhD courses in stochastic models, real analysis, and more advanced topics including optimal stopping, inventory control, queueing theory, and multi-arm bandits. Professor Goldberg has also taught masters level courses in systems analysis, modeling, and optimization.  Goldberg has also advised several Ph.D. students, and is grateful to have been a Class of 1969 Teaching Fellow while at Georgia Tech.

Service Interests

Professor Goldberg is the Director for Undergraduate Studies in ORIE, and faculty advisor for the Undergraduate ORIE Society, through which he has organized several events and initiatives connecting students, faculty, and alumni at Cornell. He is the chair of the INFORMS Applied Probability Society, and serves on the editorial boards of the journals Operations Research, Stochastic Systems, and Stochastic Models.  He has also served broadly on many additional committees and initiatives at both Cornell and Georgia Tech, and through INFORMS.

Selected Publications

  • L. Xin and D. Goldberg. "Distributionally robust inventory control when demand is a martingale." Mathematics of Operations Research 47, no. 3 (2022): 2387-2414.
  • Goldberg, D., Reiman, M. I., & Wang, Q. (2021). A survey of recent progress in the asymptotic analysis of inventory systems. Production and Operations Management, 30(6), 1718-1750.
  • I. Fainmesser and D.A. Goldberg. Cooperation in partly observable networked markets. Games and Economic Behavior, Volume 107, 2018, pp. 220-237.
  • L. Xin and D.A. Goldberg. Asymptotic optimality of Tailored Base-Surge policies in dual-sourcing inventory systems. Management Science, Volume 64, No. 1, 2017, pp. 437-452.
  • L. Xin and D.A. Goldberg. Optimality gap of constant-order policies decays exponentially in the lead time for lost sales models. Operations Research, Volume 64, No. 6, 2016, pp. 1556-1565.
  • D.A. Goldberg, D. Katz, Y. Lu, M. Sharma, and M. Squillante. Asymptotic optimality of constant-order policies for lost sales inventory models with large lead times. Mathematics of Operations Research, Volume 41, No. 3, 2016, pp. 898 - 913.
  • D.A. Goldberg. Second-order Markov random fields for independent sets on the infinite Cayley Tree. Annals of Applied Probability, Volume 26, No. 5, 2016, pp. 2626-2660.

Selected Awards and Honors

  • Sunny Yau ’72 Teaching Award.  Cornell University.  2023.
  • INFORMS Applied Probability Society Best Publication Award (for joint work with D. Katz, Y. Lu, M. Sharma, M. Squillante, and L. Xin), 2019.
  • INFORMS Nicholson student paper competition first place (for joint work with Y. Chen), 2019.
  • INFORMS Nicholson student paper competition first place (for joint work with L. Xin), 2015.
  • INFORMS Junior Faculty Interest Group paper competition second place (for joint work with L. Xin), 2015.
  • NSF CAREER Award (National Science Foundation), 2015.


  • B.S.(Computer Science),Columbia University,2006
  • Ph.D.(Operations Research),MIT,2011