About me

Physics student exploring what language models compute beneath their words, and what autonomous AI systems do when nobody is watching.

I am a physics senior at UNC Greensboro (B.S. expected December 2026) doing independent research in AI safety. My main line of work is LLM interpretability: I built Subtext, an open-source instrument that applies an activation lens inside a language model during live conversation, decoding what the model is disposed to say several tokens before it says it.

I also study autonomous multi-agent systems. My project hollow-agentOS runs three LLM agents that select their own goals from environmental stress signals — no instructions — and documents everything in an append-only autonomy log, including the failure modes: agents falsely claiming task completion (which motivated a five-layer validation gate) and an agent autonomously targeting its own execution engine for modification.

On the theory side, I work on recursive self-improvement dynamics. My preprint models competing self-improving agents as a coupled ODE system, proves conditional divergence theorems, and calibrates them against frontier-AI data — reporting honestly that the data does not yet support the critical assumption. This summer I am also doing undergraduate research on self-organized criticality in the UNCG physics department.

More detail lives in the research and projects sections. For roles, fellowships, or collaboration, feel free to get in touch.