Ph.D. Chemical Engineer · Computer Scientist · Professional Explainer of Hard Things

I build simulations, AI systems, and developer tools that turn complex, high-dimensional chaos into something humans can actually use.
_{Sometimes that means physics. Sometimes that means machine learning. Usually it means both.}

Systems for externalizing, persisting, and traversing human/AI reasoning.
_{Thinking, but it doesn’t evaporate.}

FUR · Yggdrasil · Elaine ·

_{FUR — Persistent, local-first memory for AI conversations and reasoning traces · Yggdrasil — Deterministic project flattener and diff engine that turns codebases into AI-ready cognitive codices · Elaine — An opinionated, local-first reference manager for TeX users.}

Kodomata is a three-dimensional automata-based simulation system for studying decentralized agents, local interaction rules, and emergent structure in continuous space.

It models large populations of autonomous voxel agents with internal state and rule-driven dynamics, producing collective motion, clustering, and self-organized spatial patterns under real-time constraints.

Key features

• autonomous 3D automata with internal state and update rules
• local interactions: neighborhood sensing, collision avoidance, energy dynamics
• real-time simulation with spatial hashing and BVH acceleration

Designed as a sandbox for agent-based modeling, digital life, and emergent systems.

🔗 Live Preview: https://kodomata.vercel.app

I work with people who want to make hard things explicit, legible, and durable — especially when those things are usually invisible.

That includes:

• Systems that turn messy reasoning into concrete artifacts
• Scientific and engineering software that values clarity over cleverness
• Procedural worlds and tools that reward exploration, not memorization
• Infrastructure that leaves a paper trail and doesn’t gaslight its users

If you care about building tools that think with people instead of around them, we’ll probably get along.