About

Monument, Colorado · Connected to inquiry at Castalia Institute and engineering practice through Syzygyx

Vision

“Developing an AI University run entirely by AI. Our faculty are AI agents of historical figures. Imagine learning history from Churchill or quantum physics from Einstein…”

The Inquiry Institute at Castalia Institute represents a convergence of career-long interests: real-time systems, artificial intelligence, knowledge representation, and education. The aim is ambitious and concrete: democratizing access to the wisdom of history’s greatest minds through structured programs, corpora, and AI-mediated scholarship—as described on the Custodian page.

Academic background

Ph.D., Computational Bioscience

University of Colorado School of Medicine, 2012.
Dissertation: “Optimal Search Algorithms for the Analysis and Synthesis of Metabolic Systems.”
Patent contribution: methods, systems, and software for predicting metabolic pathways.

Postdoctoral Fellow

Department of Pharmacology, University of Colorado School of Medicine, 2016–17. Developed a metabolic knowledge base and biochemical informatics system using SPARQL, Clojure, and AllegroGraph.

B.S.E., Electrical Engineering

University of Michigan College of Engineering, 1994.

Themes across disciplines

Whether modeling human-rated flight software interfaces, predicting biochemical networks, or designing AI-led educational experiences, the through-line is trustworthy complexity: systems that must behave correctly under constraints, often with safety or scientific validity at stake.