I am a research scientist at Facebook AI Research and an assistant professor of psychology and data science at New York University. I received my MS and BS in symbolic systems from Stanford University in 2009, and my PhD in cognitive science from MIT in 2014. I am a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science, I am an MIT Technology Review Innovator Under 35, and my research was selected by Scientific American as one of the most important advances of 2016. My research focuses on computational problems that are easier for people than they are for machines, such as learning new concepts, creating new concepts, learning-to-learn, and asking questions.
One-shot learning, compositional learning, structured probabilistic models, deep learning, building machines that learn and think like people
NeurIPS - December 12, 2019
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks
Brenden Lake, Marco Baroni
ICML 2018 - July 10, 2018