My research work — papers, active projects, and the code behind them. Everything is open source and reproducible; each entry links to its full materials.
Preprint — 22-page paper with proofs and 11 reproducible simulations
A coupled-ODE model of when competitive recursive self-improvement collapses into single-agent dominance. Conditional theorems, calibrated against Epoch AI data.
View PDF Code
Open-source instrument — 183 GitHub stars
A Jacobian activation lens at nine depths inside a live LLM, decoding hidden states through the vocabulary. Runs in the browser, no GPU required.
Live demo Code
Open-source forensic tool · Node, zero dependencies, zero network calls
Reconstructs everything an AI coding agent did from the session logs already on your disk, and flags sensitive file reads followed by network calls. One command, run after the fact.
Sample report Code
Full-stack training pipeline · single RTX 5070
A ~170M-parameter chat model built end to end on one GPU — tokenizer, pretraining, SFT, DPO, tool use, and a chat UI. The personality is trained into the weights, not prompted.
Code
Computational study · undergraduate research, UNC Greensboro
Simulations of flocking, phase transitions, predator–prey dynamics, and self-organized criticality in systems of many simple agents.
Code