About
My research lies at the intersection of network science and mathematical biology. On one hand, I pursue theory-driven work on networks. My research topics along this line include dynamics on networks, temporal (i.e., time-varying) networks, multilayer networks, hypergraphs, random walks, and algorithms. On the other hand, another unifying theme of my research has been data-driven approaches to complex systems—particularly networks and their dynamics. Vast datasets in many domains invite new analysis and interpretation. This perspective naturally leads me to numerous interdisciplinary collaborations. In terms of applications, my work particularly focuses on genomics, neuroimaging (especially functional MRI), behavioral biology (primarily animal studies), and social networks related to public health—in close partnership with domain experts.
