I am a fourth year PhD student in Computer Science at The University of Colorado, Boulder, working under the supervision of Katharina Kann in the NALA lab. Previously, I worked in NLP research at Pearson, as well as the US Army Research laboratory, and have worked as a software engineer at several companies.

Research Interests

My research interests revolve around NLP systems geared towards underrepresented languages and computational morphology. This often entails using unsupervised and semi-supervised machine learning methods, and training deep learning models on very sparse datasets. On the more applied side of things, I am interested in developing and evaluating algorithms for morphological tasks---which may be of interest to documentary linguists and language educators---under realistic scenarios for endangered or low-resource languages.

I additionally really enjoy implementing deep learning architectures and developing open-source software (see, e.g. Yoyodyne). I spend a lot of time thinking about the inductive bias of different deep learning architectures, and how these interface with different languages and training dynamics, as well as how tokenization methods can enable more performant multilingual language models.