I study how AI minds go wrong.

the short version

I'm an AI safety researcher in London, doing my PhD at UCL and working with the Center on Long-Term Risk.

My research is about building a pragmatic science of how language models generalize — why an aligned model can quietly become misaligned, what models actually learn from their data, and how to catch it before it matters. I come at it from a mix of NLP, ML, and cognitive science.

Before this: undergrad at Stanford in ML and CS, a year building robots at a Singapore startup, and earlier obsessions with mechanistic interpretability and open-ended learning. Outside of work I'm bouldering, cooking, or deep in some anime / sci-fi. Autism is my superpower, and I'm unapologetically curious about almost everything.