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 steadystate approximations of stochastic systems.
These approximations include both first order approximations such as meanfield/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.
Curriculum Vitae
Publications:
Working Papers:

A. Braverman, J.G. Dai, X. Liu, L. Ying, Emptycar routing in ridesharing systems.

A. Braverman, J.G. Dai, High order steadystate diffusion approximation of the ErlangC system.

A. Braverman, J.G. Dai, and Jiekun Feng, Stein's method for steadystate diffusion approximations: an introduction through the ErlangA and ErlangC 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.
I have been a TA for the following courses:

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