I’m an AI safety researcher — mostly working on ways to see inside the systems we’ve built and understand what moves them. My background runs through statistical inference, machine learning, and generative models; lately I’ve been in the borderlands between mechanistic interpretability and probabilistic thinking, trying to make large language models a little less opaque.

I’ve moved between academia, industry, and independent research, but the constant thread is the same: bridging abstract mathematics with the hidden structures of deep networks. I view this blog as the place to keep scientific diary, maintain emotional balance, and make friends :)