I am a computational linguist currently working as a postdoctoral fellow at Johns Hopkins University in the Department of Cognitive Science. I work with Tal Linzen probing the extent to which neural networks can learn human-like linguistic representations.

My work mainly focuses on incremental models of language processing and often involves testing the predictions of computational models against human behavioral and neural responses (e.g., reading times, M/EEG, etc). I am especially interested in the influence of uncertainty on language processing.

Outside of work, I enjoy travel, dinner parties, and gardening.

Recent News

September 24: Paper accepted for oral presentation at SCIL 2019.

August 10: Paper accepted for oral presentation at EMNLP 2018.

June 7: 1, 2 posters accepted for presentation at AMLaP 2018.

May 14: Paper accepted for presentation at CogSci 2018.

May 12: I gave a talk at the Mid-Atlantic Student Colloquium on Speech, Language and Learning 2018.

March 17: Cory Shain presented our paper at CUNY 2018.

Feb 22: Paper accepted for oral presentation at the Workshop on Linguistic and Neuro-Cognitive Resources (LiNCR) at LREC 2018.