Hi, I’m Kyle. I work as a machine learning engineer at Melange building automated patent search. Before that I studied math at UT Austin and Williams College. I’m into mechanistic interpretability, prediction markets, and NBA analytics. I’m from Austin, Texas.
LLMs often commit to an answer before chain-of-thought, then rationalize it. We can detect these answers with linear probes and switch them via steering. [ICML 2026 Mech Interp Workshop]
Recovering uncertainty calibration in LLMs by sampling over semantically equivalent paraphrases of the same prompt. [AAAI 2025]
Massey-style team ratings, player plus-minus ratings, game predictions, Monte Carlo season simulations, and player career projections.
Reach out! My email is {firstname}{lastname}2000 at gmail dot com.