I am an Assistant Professor in the Computer Science Department at Carnegie Mellon University. My research lies in the broad area of applied probability and stochastic systems, with applications in data centers, cloud computing, and privacy-preserving data analytics. Such applications are the backbone of many ever-developing technologies, especially the emerging big-data technology. Enormous challenges are presented by these new technologies, including scalability to large sizes, coordination of data and computation, ultra-low latency, economic efficiency, etc. The goal of my research is to address these challenges, provide a clear understanding of fundamental limits of systems, and build theoretical foundations for designing new architectures and algorithms.
I joined the Computer Science Department at Carnegie Mellon University in Fall 2018 as an Assistant Professor. Previously, I was a postdoc at the University of Illinois at Urbana-Champaign and Arizona State University, working with Prof. R. Srikant and Prof. Lei Ying. I received my Ph.D. degree in electrical engineering from Arizona State University in 2016, advised by Prof. Lei Ying and Prof. Junshan Zhang. I received my Bachelor’s degree from the Department of Electronic Engineering at Tsinghua University in 2009. My dissertation received the Dean’s Dissertation Award in the Ira A. Fulton Schools of Engineering at Arizona State University in 2016 (news article). I received the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS 2016.