What if we treated minds like the complex systems they are?

Science is a social process, not a membership club.

Research Interests

Modeling the Emergent Mind

Reverse-engineering cognition through complexity science and relational systems

Focus

Metaphorizing • Metacognition • Relational reasoning

Understanding the fundamental mechanisms underlying human thought processes

Biphasic Architecture: Understanding evolution of consciousness (associative → deictic framing) • Relational Emergence: Language, emotion, and social dynamics as networked responding • Flexibility Engineering: Scaling resilience through open computational tools

Modeling approach

Agent-based modeling (NetLogo) | Bayesian cognition | Complexity analytics (Python)

Open Science

NASA-certified | ORCID iD: 0009-0009-8580-4596

Let’s collaborate if you need a modeler who thinks in systems, speaks in plain English, and cares more about solving things than sounding smart.

Modeling Minds as Complex Systems

I’m a systems thinker on an unconventional path: after a decade steering economic policy, I spent time observing how science meets real human struggles—from decision-making under uncertainty to trauma-informed contexts.

My work answers questions like ‘How do we actually solve this?’—not ‘Will this get cited?’ and how to scale that power through technology.

Certified in NASA’s Open Science principles, I’m committed to open tools and collaborative process—because understanding the mind shouldn’t require a PhD or a closed-door lab. Yes, I’m new here. But “new” means fresh eyes for old problems.

I now use computational modeling to reverse-engineer how cognition shapes—and is shaped by—the systems we build, inhabit, and live in.

economics

the complexity science

contextual behavioral science

cognitive science

computational modeling

Neuroscience

economics

the complexity science

contextual behavioral science

cognitive science

computational modeling

Neuroscience

economics

the complexity science

contextual behavioral science

cognitive science

computational modeling

Neuroscience