I am currently a Ph.D student at Cornell University in the Operations Research Department working with Professor Jim Dai. I received a Bachelors degree in Math and Statistics from the University of Toronto.
Broadly speaking, I am interested in stochastic modeling and applied probability. My thesis work focuses on applying Stein's method to the study of steady-state approximations of stochastic systems. These approximations include both first order approximations such as mean-field/fluid approximations, and second order approximations such as diffusion approximations. However, I am also interested in Markov decision processes and stochastic control theory. With respect to application domains, I am interested in fleet management questions in ridesharing systems such as Uber, Lyft, or Didi.
Publications:-
A. Braverman, J.G. Dai, Stein's method for steady-state diffusion approximations of M/Ph/n + M systems.
Accepted to Annals of Applied Probability. -
A. Bendikov, A. Braverman, J. Pike, Poisson statistics of eigenvalues in the hierarchical Dyson model.
Accepted to Theory of Probability and its Applications.
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A. Braverman, J.G. Dai, X. Liu, L. Ying, Empty-car routing in ridesharing systems.
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A. Braverman, J.G. Dai, High order steady-state diffusion approximation of the Erlang-C system.
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A. Braverman, J.G. Dai, and Jiekun Feng, Stein's method for steady-state diffusion approximations: an introduction through the Erlang-A and Erlang-C models.
Submitted for publication in December 2015. -
A. Braverman, J.G. Dai, M. Miyazawa, Heavy traffic approximation for the stationary distribution of a generalized Jackson network: the BAR approach.
Submitted for publication in August 2015.
- ORIE 3510 Introduction to Engineering Stochastic Processes, Spring 2015
- ORIE 2700 Basic Engineering Probability and Statistics, Spring 2014
- ORIE 6500 Applied Stochastic Processes, Fall 2013