Anton Braverman

Donald P. Jacobs Scholar
Assistant Professor of Operations

Print Overview

Anton Braverman joined the Operations group at Kellogg in 2017. He completed his PhD in Operations Research from Cornell University, and holds a Bachelors degree in Mathematics and Statistics from the University of Toronto. Anton's research is focused on stochastic modelling and applied probability. Some application domains of interest include ridesharing services, as well as healthcare operations.

Print Vita
PhD, 2017, Operations Research, Cornell University
MS, 2015, Operations Research, Cornell University
BS, 2012, Math and Statistics, University of Toronto

Academic Positions
Assistant Professor, Operations, Kellogg School of Management, Northwestern University, 2017-present

Print Research
Braverman, Anton and John Pike. Forthcoming. Poisson statistics of eigenvalues in the hierarchical Dyson model. Theory of Probability and its Applications.
Braverman, Anton, Jim Dai and Masakiyo Miyazawa. 2017. Heavy traffic approximation for the stationary distribution of a generalized Jackson network: The BAR approach. Stochastic Systems. 7(1): 143-196.
Braverman, Anton and Jim Dai. 2017. Stein's method for steady-state diffusion approximations of M/Ph/n + M systems. Annals of Applied Probability. 27(1): 550-581.
Braverman, Anton, Jim Dai and Jiekun Feng. 2016. Stein's method for steady-state diffusion approximations: An introduction through the Erlang-A and Erlang-C models. Stochastic Systems. 6(2): 301-366.
Working Papers
Braverman, Anton and Jim Dai. 2016. High order steady-state diffusion approximation of the Erlang-C system.
Braverman, Anton, Jim Dai, Xin Liu and Ying Lei. 2017. Empty-car routing in ridesharing systems.

Print Teaching
Full-Time / Evening & Weekend MBA
Operations Management (OPNS-430-0)
1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term. MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440) Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.