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 primarily use these methods to study speech representations, modeling the cognitive processes that support learning and perception of speech sounds in the face of highly complex and variable linguistic input. I also computationally characterize the strategies that facilitate language acquisition more generally, both from the perspective of learners, and from the perspective of clinicians.