Presented work at various conferences and workshops, including the Society for the Neurobiology of Language (SNL), Friday Night AI, etc., sharing research on code-switching in naturalistic conversation and comparing human and artificial neural responses to syntax.
Research Experience
Associate Professor of Linguistics at the University of Michigan and director of the Computational Neurolinguistics Lab.
Background
Studies the mental structures and computations used to understand words and sentences, focusing on how these processes are implemented in the brain. Uses formal, computationally grounded models of language comprehension to probe neural signals collected with EEG, MEG, and fMRI. Has a particular interest in experimental methods that are as natural as possible, such as having participants read or listen to a story.