I am currently a member of technical staff at Radical AI, where I am working on building foundation models for material discovery.

I started out working across startups and big tech, picking up internships in everything from security and wearables to multilingual recommender systems. These diversified experiences kept me curious and ultimately shaped my interest in research.

Since then, I have worked with Amazon studying memorisation across LLM architectures and developed the cognitive architecture for a pet robot(perception, autonomy, behaviour).

My main interests lie in foundational theory, interaction, and the intersection of AI and the physical sciences. While you don’t have to do what you love to be successful, I’m lucky enough to always find myself working on projects I love—and honestly, it makes work way more fun than it probably should be.