David Goldberg will join the faculty of Georgia Tech's H. Milton
Stewart School of Industrial and Systems Engineering as an assistant
professor starting August 10, 2011.
Dr. Goldberg works in applied probability, interpreted broadly, on topics ranging from stochastic networks and queuing theory to combinatorial optimization and the analysis of algorithms. His work on queues centers around developing novel techniques for bounding the congestion in large-scale networks, and studying how quickly such systems approach their steady-state behavior. Much of this work is motivated by applications to the design and analysis of large-scale service systems. His work in combinatorial optimization focuses on analyzing the performance of algorithms by studying the interplay between the local and global properties of a network, and how this interaction gives rise to varying degrees of complexity. He has applied these ideas to questions in economics, studying the impact of reputation and network structure on market behavior.
Dr. Goldberg comes to Georgia Tech from the MIT Operations Research Center, where he recently completed his PhD. Prior to that, he completed his undergraduate degree in computer science at Columbia University, minoring in both industrial engineering/operations research and applied math.
Dr. Goldberg has received several honors for his work, including a Department of Defense NDSEG Fellowship, recognition as a finalist in the George Nicholson Student Paper Competition, the Columbia University Computer Science Department Award of Excellence, and membership in the Tau Beta Pi National Engineering Honors Society.
Industrial and Systems Engineering