Founder & Principal Investigator
Researcher working at the intersection of spectral geometry, category theory, and geometric foundations for interpretable AI. My work focuses on developing mathematical frameworks that bridge continuous and discrete representations of cognitive processes.
The AEO Trivector framework emerged from the recognition that intelligence—whether biological or artificial—operates through attractor dynamics in structured phase spaces. By formalizing these dynamics through spectral methods and categorical composition, we can build systems that are both powerful and interpretable.