Andrew Daw



About

Andrew Daw

Hello! I am an assistant professor in the Data Sciences and Operations department within the Marshall School of Business at the University of Southern California. Prior to joining USC Marshall, I completed my PhD at the School of Operations Research and Information Engineering at Cornell University, where I was advised by Jamol Pender and supported through a National Science Foundation Graduate Research Fellowship.

What's my research about?

Recently, I wrote a note in Queueing Syst. on some of my current interests.

My research focus is in operations research and operations management, most often in service operations. I am particularly interested in stochastic models of service shaped by interactions, in which the history of activity in one process can drive future activity within itself and reciprocally in other inter-related processes. These interactions can affect service systems on the arrival side, such as I've recently studied in the context of Covid-19 contact tracing, and on the service side, which is the focus of our recent work on co-produced service in customer contact centers. Because these are stochastic models, the conceptual forebearer of the interactive behavior models is the self-exciting Hawkes process, which has natural and relevant connections to virality, contagion, preferential attachment, and rich-get-richer models. Recently, we've also found surprising connections between Hawkes processes and well-known objects in enumerative combinatorics. My goal is to use these models to better understand interactive operations both analytically and empirically, and to use these insights for informed operational decisions.

What's operations management about?

I like to tell my classes that in operations management we are both poets and quants. I see operations management as a form of mathematical poetry, in which we describe scenarios and problems with models and data. Like the best poems can, our descriptions are meant to give us new perspectives on the systems and processes that we study, and these perspectives are likewise meant to guide and shape our decisions. We have a responsibility to remember, though, that decisions on processes often become policies, and only an exclusive few have the power to make policy.

Working Papers

Asymmetries of Service: Interdependence and Synchronicity
Daw and Yom-Tov (2024)
rotation figures : ∩/∪, 𝒦

Price-Delay Trade-offs in Services: Customers, Servers, and the Firm-Platform Distinction
Giannoutsou and Daw (2024)

The Hybrid Hospital: Balancing On-Site and Remote Hospitalization
Zychlinski, Mendelson, and Daw (2023)

Establishing Convergence of Infinite-Server Queues with Batch Arrivals to Shot-Noise Processes
Daw, Fralix, and Pender (2023)

Journal Publications

How to Staff When Customers Arrive in Batches
Daw, Hampshire, and Pender Management Science (2024, to appear)

The Co-Production of Service
Daw, Castellanos, Yom-Tov, Pender, and Gruendlinger Management Science (2024, to appear)

Conditional Uniformity and Hawkes Processes
Daw Mathematics of Operations Research (2024)

Matrix Calculations for Moments of Markov Processes
Daw and Pender Advances in Applied Probability (2023)

Services Shaped by History
Daw Queueing Systems (2022)

An Ephemerally Self-Exciting Point Process
Daw and Pender Advances in Applied Probability (2022)

On the Distributions of Infinite Server Queues with Batch Arrivals
Daw and Pender Queueing Systems (2019)

New Perspectives on the Erlang-A Queue
Daw and Pender Advances in Applied Probability (2019)

Queues Driven by Hawkes Processes
Daw and Pender Stochastic Systems (2018)

Conference Publications & Undergraduate Advising

Markovian Simulations of Systems with Concurrent Hawkes Service Interactions
Daw and Yom-Tov Winter Simulation Conference (2023)

Analyzing the Spotify Top 200 Through a Point Process Lens
Harris*, Liu*, Park*, Ramireddy*, Ren*, Ren*, Yu*, Daw, and Pender (2019)

Queue Length Rounding and Delayed Information in Disney World Queues
Nirenberg*, Daw, and Pender Winter Simulation Conference (2018)

* Undergraduate student

Teaching

BUAD 313   (USC Marshall)
Advanced Operations Management and Analytics Instructor (Fall 2024, 2023+)

BUAD 311   (USC Marshall)
Operations Management Instructor (Fall 2022, 2021, 2020)

MATH 112   (Cornell Prison Education Program)
Contemporary Mathematics Instructor (Fall 2019, Spring 2019)

ORIE 3510/5510   (Cornell Engineering)
Introduction to Engineering Stocastic Processes I Instructor (Summer 2017, 2016)

+ New core course which debuted Fall 2023!

Contact

401B Bridge Hall     •     andrew.daw@usc.edu