She received her PhD in Cognitive Science from Brown University in 2011. Her research lies at the intersection of cognitive science, computer science, and linguistics. She uses methods from machine learning to create formal models of how people learn and represent the structure of their language, and has been developing methods that take advantage of naturalistic speech corpora to study how listeners encode information from their linguistic environment.