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.
- April, 2020. The talks and livestream from our virtual ICLR workshop on Bridging AI and Cognitive Science are available online!
- April, 2020. I will be presenting a tutorial at ICML on model-based reinforcement learning, along with Igor Mordatch.
- March, 2020. I will be co-organizing a workshop on Object-Oriented Learning: Perception, Representation, and Reasoning at ICML 2020.
- March, 2020. I will be co-organizing a workshop on Graph Representation Learning and Beyond at ICML 2020.