Through developing methods, sometimes mathematically-rigorous and sometimes application-driven, at the interface of statistics, networks, and machine learning, I aim to bridge the gap between quantitative computational methods and data-driven analyses for broad impact in interdisciplinary sciences.

Graphs are a natural way to model time-varying interactions between elements in various systems...