Advancing the science of human optimization through interdisciplinary research in AI, cognitive science, behavioral design, and systems thinking.
Our work spans multiple disciplines to understand and optimize human systems
Applied Research: MindNAL serves as a real-world testing ground for Human Operating System research, bridging academic inquiry with practical implementation.
Frameworks for understanding human cognition, decision-making, and behavior as integrated systems. How do we model the complete human experience?
Designing AI agents that enhance rather than replace human capability. How do we build AI that makes humans more human?
Understanding habit formation, motivation, and sustainable behavior change. What actually works for long-term transformation?
Methods for measuring, analyzing, and optimizing human performance across physical, mental, and emotional dimensions.
Research on attention, focus, and intentional technology use. How do we design tech that respects human cognition?
How groups, communities, and networks can optimize collective decision-making and problem-solving at scale.
Critical questions we're exploring—collaboration welcome
How do we optimize across competing dimensions (productivity vs. health, short-term vs. long-term) without sacrificing one for another? What's the algorithmic approach to life balance?
Can AI truly understand individual context beyond basic preferences? How do we build models that capture the nuance of personal history, values, and circumstances?
How do we quantify human flourishing while preserving privacy and autonomy? What metrics matter, and how do we collect them ethically?
Why do most behavior change interventions fail long-term? What separates temporary motivation from lasting transformation? Can we systematize habit formation?
What's the right technical architecture for integrating fragmented life systems (calendar, health, finance, relationships)? How do we build a true Human OS?
How do we surface and synthesize collective intelligence from communities? What are the mechanisms for turning individual insights into group knowledge?
Publications, papers, and ongoing work
We're actively seeking partners across academia, industry, and research
Collaborate with universities on research projects, PhD programs, and interdisciplinary studies in human systems optimization.
Joint grant applications for funding human-centered AI research, behavioral science, and systems design.
Ethical data sharing partnerships to advance research while preserving privacy and user autonomy.
Contributing tools, frameworks, and methodologies to the research community under open licenses.
Whether you're a researcher, academic institution, or simply curious about human systems optimization—we'd love to collaborate.
Contact Research Lab