I work at the intersection of machine learning, distributed intelligence, and human behavior.
I’m exploring how adaptive AI systems — capable of learning, negotiating, and self-organizing — can reshape how society functions at scale.
Not prototypes.
Not experiments.
Long-horizon systems with the potential to become a public utility.
Some of the ideas I’m orbiting around:
- self-governing machine economies
- autonomous decision systems
- persistent AI agents embedded in everyday life
- behavior-shaping digital infrastructure
- resilient civic intelligence networks
I believe the next decade belongs not to single models, but to networks of agents capable of cooperation, alignment, and emergent reasoning.
- researching multi-agent autonomy frameworks
- studying social systems, incentives, and behavior design
- architecting learning environments for agents
- exploring alignment, safety, and scalable governance in AI systems
The goal isn’t automation for efficiency —
but intelligence that collaborates, negotiates, and understands context.
