Language is a fundamental

human capacity. Aspects of language

are crucial to our social interactions, communication, and quality of life, and are linked to other higher level cognitive processes.

​

Understanding spoken language poses an incredible computational challenge for the brain’s auditory and language systems. While most listeners carry out this process with ease, the numerous ways in which language processing breaks down underscores its complexity.

​

My work examines multiple issues in speech perception and language learning. To address these issues, I use a variety of methodologies, including eye-tracking, scalp and intracranial electroencephalography (EEG and iEEG).

I also apply machine learning techniques to decode speech information directly from neurophysiological data.

My hope is that by better characterizing 

the neural and cognitive mechanisms

that subserve spoken language

processing, we can better inform 

treatments in the classroom and the clinic.