Yuan Zhong

Yuan Zhong researches applied probability, as well as modeling and analysis of large-scale stochastic systems, with business and engineering applications. More recently his research interests have extended to applications in data centers and cloud computing. Zhong’s research has been published in several journals including Queueing Systems and The Annals of Applied Probability.

Prior to Booth, Zhong was an assistant professor at Columbia University in the Department of Industrial Engineering and Operations Research. At Columbia he taught courses in stochastic networks, simulation, and probability models. Before joining Columbia in 2013, Zhong spent one year as a Postdoctoral Scholar in the Computer Science Department at UC Berkeley.

Zhong received a PhD in operations research from MIT in2012, an MA in mathematics from Caltech in 2008, and a BA in mathematics from the University of Cambridge in 2006.