Beginning in November 2017, I am Research Scientist at DeepMind. 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.
I study human cognition by combining probabilistic models from machine learning with behavioral experiments from cognitive science. My research focuses specifically on understanding mental simulation from a computational, resource-rational perspective. For details, please see my publications.
Additionally, I am a strong advocate for open source, open access, and open data in science. I am a core contributor to the Jupyter project and lead maintainer of nbgrader, which is a tool for creating and grading assignments in the Jupyter notebook. When I have time, I help out with the occasional Software Carpentry workshop and contribute to a number of other open source projects.