I am a fifth-year Ph.D. candidate at Massachusetts Institute of Technology in the Department of Brain and Cognitive Sciences, where I am advised by Roger Levy in the Computational Psycholinguistics Laboratory. I earned my B.A. from Harvard University in Mathematics and Linguistics in 2018.

I am interested in the computational and cognitive principles that underlie the human capacity for language. My research draws from a broad set of theoretical, experimental, and computational methods, with the dual goals of understanding the human mind and building better systems of artificial intelligence.

I am supported by an NSF Graduate Research Fellowship and an NSF Doctoral Dissertation Research Improvement grant, and was previously supported by the Computationally-Enabled Integrative Neuroscience Training Program.

In my free time, I like making music, writing comedy, and playing SET.


Dec 21, 2022 Two new preprints on arXiv: “A fine-grained comparison of pragmatic language understanding in humans and language models” and “An AI Dungeon Master’s Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons”!
Nov 15, 2022 New preprint “Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches” on arXiv!
Aug 2, 2022 Our paper “Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production” has been accepted for publication in Cerebral Cortex.
Jun 6, 2022 I will be doing a Research Internship at the Allen Institute for Artificial Intelligence this summer, working on the Mosaic Team.
Sep 11, 2021 Double news: (1) Our paper “Controlled evaluation of grammatical knowledge in Mandarin Chinese language models” was accepted at EMNLP 2021. (2) Our preprint “The language network supports both lexical access and sentence generation during language production” is now on bioRxiv!