Claire

My current work focuses on LLM post-training and tool-using agents: making learning signals inspectable, building useful interaction protocols, and evaluating failure modes.

I work through small, reproducible experiments before making larger claims. My public repositories include synthetic-data training studies, distributed gradient checks, learning implementations, and application prototypes.

Speech enhancement and microphone-array processing remain part of my research foundation. I am interested in how signal processing, representation learning, and distributed computation connect.