Work has been featured in The Atlantic, Quanta Magazine, Nautilus, and MIT Technology Review; named one of MIT Tech Review’s Innovators under 35 in 2019; publications can be found on their Google Scholar page.
Research Experience
Senior Research Scientist at Google DeepMind and Adjunct Assistant Professor at the Center for Theoretical Neuroscience at Columbia University.
Education
PhD in Quantitative & Computational Neuroscience from Princeton University (advised by Matthew Botvinick) in 2018; BS in Mathematics and Chemical & Biological Engineering from Tufts University in 2013.
Background
Research interests span Neuroscience and AI, particularly how brains build models of the world that support memory and prediction, and implementing these cognitive functions in deep learning models. Currently a Senior Research Scientist at Google DeepMind and Adjunct Assistant Professor at the Center for Theoretical Neuroscience at Columbia University.
Miscellany
Enjoys painting and drawing; likes backpacking and canyoneering with friends; holds black belts in Isshinryu Karate and Tae Kwon Do.