ABOUT (CV here)PERSONAL DETAILS
Yang Yang, Ph.D., is passionate about network science and data mining research. He received his B.S. in Nanjing University in 2007. He received his Ph.D. of computer science at the University of Notre Dame in 2015, advised by Professor Nitesh V. Chawla. He was a member of the iCeNSA research group and the Data, Inference, Analysis and Learning (DIAL) research group. Currently he is a postdoctoral fellow at Kellog School of Management and NICO (Northwestern Institute on Complex Systems), working with Professor Brian Uzzi.
His principal research interest is in large-scale information and social networks. More generally, he studies data mining, statistics, and network science, with a focus on the link prediction problem, social influence analysis, and social network evolution. His research has been focused on new methodologies of predicting links in social networks and exploring underlying principles of social network evolution. Recently he is exploring the connection between social networking effects and early career success of business elites, and the mechanisms underlying the dynamics of global terrorisms. He is also involved with interdisciplinary projects across multiple other fields, i.e., analyzing the development of complex socio-economic systems, such as the evolution of trader alliance networks in unstable economies.