I am a third-year PhD student, studying Linguistics and Cognitive Science. I am interested in applying information theory and machine learning to understanding the language production process. A new avenue of my research looks at how parsing changes as a result of adverse conditions.
My current projects range from studying surprisal and language modeling to predicting autism from language samples. You can read more about these on my Research page.
News:
- March 2019 – Accepted into the Interdisciplinary Writing Group at Northwestern
- August 2018 – Received an Honorable Mention for our DevSci Cluster Fellowship proposal
- 1/11/18 Our CUNY abstract about using high- and low-level statistics in processing was accepted
- 1/7/18 I presented at CMCL 2018, where Klinton Bicknell and I received the Best Paper Award for our paper on surprisal and language models (slides)
- 1/6/18 At SCiL 2018, I presented our paper on using word vectors to identify autism (slides)