I am a Senior Research Scientist at DeepMind, where I study how to build machines that can flexibly build and deploy models of the world. My work combines insights from cognitive science with structured relational architectures, model-based deep reinforcement learning, and planning.

I completed my PhD in Psychology at UC Berkeley in Tom Griffiths’ Computational Cognitive Science Lab. Before that, I researched intuitive physics in Josh Tenenbaum’s Computational Cognitive Science Group at MIT.