Research

I study graph-structured intelligence for dynamic, uncertain, and interconnected systems, with current emphasis on theory, cross-network dynamics, and AI systems.

Current Directions

Spectral graph theory

Using spectral perspectives to understand graph structure, operators, and learning behavior.

UQ for graph dynamics

Studying uncertainty quantification, inference, and intervention in graph-driven dynamical systems.

Cross-network graph dynamics

Understanding how heterogeneous networks interact, couple, and evolve together over time.

General theory for graph dynamics

Searching for broader principles that unify dynamics, interaction, and controllability on graphs.