Many of the systems that matter most (infrastructure, climate, communications, organizations) are networks of interacting parts whose behavior cannot be understood one component at a time. I develop network-science and information-theoretic methods to map how influence and information actually flow through such systems, to find the essential synchronization backbone that holds coupled systems together, to detect communities and hidden structure, and to flag spatiotemporal tipping points before a system shifts regime, as in an early-warning tool for the Antarctic ice sheet. The same approach extracts coherent structure from raw spatiotemporal data without tracking individual trajectories. This work underpins dependency and risk mapping, anomaly and early-warning detection, and resilience analysis, and it directly informs my advisory work at Root Dynamix.
ERAU FIRST: Community Detection & Clustering using Boltzmann-Shannon Interaction Entropy (2024–2025). AFRL VFRP: Synchronization, Harmonizing Genes, and the Dynamical Systems Language Model (2024). Root Dynamix (advisory).