I'm an associate professor in the Department of Linguistics and the Institute for Advanced Computer Studies at the University of Maryland with a focus in computational psycholinguistics. My research uses methods from statistics, machine learning, and automatic speech recognition to formalize questions about how people learn and represent the structure of their language. I have primarily applied these methods to studying speech representations, investigating how people learn about the sounds of their language robustly from limited data and how that knowledge affects their subsequent perception of sounds. I have also looked at the problem of statistical learning more generally, asking how language learners can identify and rely on the aspects of their input that are most useful for learning.