Andrew Daw

Assistant Professor of Data Sciences and Operations

PhD, MS, Cornell University; BS, University of Florida

Andrew Daw is an Assistant Professor of Data Sciences and Operations in the Marshall School of Business at the University of Southern California. He studies the interactions within operations, and his research interests include service systems, stochastic models, and contagion processes. Prior to joining USC, he completed his PhD in the School of Operations Research and Information Engineering at Cornell University.

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Andrew Daw, Jamol Pender () "An Ephemerally Self-Exciting Point Process ,"  Advances in Applied Probability  (To appear).
Andrew Daw, Jamol Pender () "New Perspectives on the Erlang-A Queue ,"  Advances in Applied Probability  51, 268-299.
Andrew Daw, Jamol Pender () "On the Distributions of Infinite Server Queues with Batch Arrivals ,"  Queueing Systems  91, 367-401.
Andrew Daw, Jamol Pender () "Queues Driven by Hawkes Processes ,"  Stochastic Systems  8, 192-229.