I Design AI That Thinks
I wrote a PhD about why interactive storytelling needed neural networks. Then I became the catalyst and lead inventor of a patent-pending agentic system at Axon: pattern-based agents for VR de-escalation training.
“I took a philosophy about human-AI synergy and turned it into a product.”
From Speculation to Simulation
I predicted the shift from sequential logic to neural networks in 2021. Then I helped build the proof.
The Theory
My PhD argued that interactive storytelling had to move past decision trees. I called the shift to neural networks before it happened.
The Method
A design approach I picked up from science fiction. Imagine the system 10 years out, then work backwards.
The Practice
What I pitched in the dissertation, I shipped at Axon. Same idea, real product.
What I Work On
PhD research, enterprise AI, and a framework for making agents feel human.
Axon VR
AI-powered de-escalation training for law enforcement. Agents that adapt to what you say, not scripts that don't.
Learn morePhD Research
"Toward the Design of Interactive Storytelling Games That Teach Computational Thinking" (UTD 2021)
Learn moreHumics
Pascal Bornet's framework for human-AI synergy. I led the design work that turned it into a system that actually measures empathy, trust, and rapport.
Learn moreReady to Build Something Together?
If you're working on AI training systems or need someone who can bridge the gap between research papers and shipping code, I'd like to hear from you.