David A. Goldberg has been promoted to the rank of associate professor, as announced by Georgia Tech’s Stewart School of Industrial & Systems Engineering (ISyE), effective August 15, 2017. He will serve as the A. Russell Chandler Associate Professor.

“David is a tremendous asset to both the Stewart School and his field,” said Edwin Romeijn, ISyE’s H. Milton and Carolyn J. Stewart School Chair. “This promotion reflects David’s continued advancement in what is sure to be a long and distinguished career.”

A member of the ISyE faculty since 2011, Goldberg works in applied probability, interpreted broadly, on topics ranging from inventory control and queueing theory to distributionally robust and combinatorial optimization, and most recently multi-arm bandit problems.  Much of his work focuses on using ideas from probability theory to prove that high-dimensional complex systems can be well-approximated by much simpler systems, and using these insights to devise novel algorithms with provable performance guarantees.  For example, his work in inventory control has focused on applying this mantra to challenging problems in which there is a lead-time delay between when an order is placed and when it is received, such as lost sales models and dual-sourcing problems, for which Goldberg has derived some of the first nearly optimal efficient algorithms.

Goldberg has received several honors for his work, including an NSF CAREER award, first place in the 2015 George Nicholson Student Paper Competition, second place in the 2015 JFIG Paper Competition, and was recognized as a finalist in the 2014 MSOM Student Paper Competition and 2010 George Nicholson Student Paper Competition.  He is also an associate editor for the journals Operations Research and Queueing Systems, a member of the INFORMS Applied Probability Society Council, and a Georgia Tech Class of 1969 Teaching Fellow.

He received his undergraduate degree in computer science from Columbia University, minoring in both industrial engineering/operations research and applied math. He completed his Ph.D. at the MIT Operations Research Center in 2011.