About Me


My primary research interest is large social network analysis. I am specifically interested in designing algorithms and statistical models to analyze large social networks. I develop solutions to the problems of studying multiple concurrent networks' influence on individuals' behavior and attitude in large network contexts. Some significant challenges in such research include heterogeneity from clusters in the population and computational cost of analysis. To solve these problems, I develop novel techniques that can efficiently extract high quality subpopulations from large scale networks so that researchers can analyze these smaller subnetworks. In addition, I develop new statistical models for studying concurrent networks, dynamic networks, and signed networks. While developing these methods and models, I am also committed to apply my solutions to real business problems such as peer influence in online social media platform, effectiveness in dynamic venture capital syndication networks, and evolution of digital product ecosystems etc. My collaborators are from multiple disciplines including Information Systems, Management, Statistics, Computer Science and Biology.