Xiao Yang
Khoury College of Computer Sciences, Northeastern University
Xiao Yang is a researcher at the Khoury College of Computer Sciences at Northeastern University whose work focuses on computational and network-based approaches to understanding human behavior and psychological dynamics. Yang's research interests encompass Boolean network methods, dynamical systems analysis, group processes, network control, and social influence, with applications to topics including behavior change, emotion regulation, depressive symptoms, and smartphone interaction patterns. Yang's publications demonstrate expertise in screenomics, person-specific network approaches, and the analysis of multivariate nonlinear dynamics in both individual and group contexts. Yang's work bridges computational science and psychology by developing quantitative methods to model, describe, and control complex behavioral and emotional systems.
Based on ORCID profile and published research
Expert in:
Publications
Modeling and managing behavior change in groups: A Boolean network method
By Xiao Yang, Réka Albert, Lauren Elreda Molloy, & Nilam Ram



