Her research interests include human mobility, social network dynamics, and computational social science. She has worked extensively on computational methodologies for mining, analyzing and visualizing large-scale, time-varying, heterogeneous, multi-relational, and semi-structured data. Her current research focuses on tracking and modeling collective behavior from big data sets, including data from social media and sensing technologies, for understanding human and social dynamics, particularly under exogenous events such as disasters. Additional information can be found at: http://www.yurulin.com/.