I work on understanding and defining the capabilities of large language models in relation to the human language system.

I am especially interested in pursuing an interdisciplinary research program, combining computational empirical machine learning methods with theories of human language. My principal interests include: how language models learn and use generalizable grammatical abstractions, the interaction between structure and meaning representations in high-dimensional vector spaces, and using multilingual settings to test the limits of abstraction in language models.