This work reflects the scientific side of my practice: modeling difficult systems, analyzing dynamic behavior, and building a foundation of rigor that still shapes how I approach machine learning and AI today.
Studies how synchronization breaks and reforms in a nonlinear circuit model, highlighting transition patterns that help explain unstable collective behavior.
Read publicationExamines how economic dynamics shift between stable and unstable regimes, using nonlinear systems tools to make complex macro behavior more interpretable.
Read publicationExplores how linked economic systems influence each other over time, showing how coupling can reshape the stability and rhythm of business cycles.
Read publicationUses control theory and network dynamics to study synchronization across layered systems, with an emphasis on how coordinated behavior can be induced or stabilized.
Read publicationInvestigates how amplification changes the behavior of multilayer networks, offering insight into when interactions across layers intensify or destabilize the system.
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