I am a Ph.D. candidate at the School of Computer Science at Carnegie Mellon University, advised by Graham Neubig. My doctoral research is supported by the Bloomberg Ph.D. Fellowship (2018-2021).

My main research interest lies in natural language processing (NLP) and I have worked on various NLP tasks across a broad spectrum of domains and languages. Please see my list of publications for details.

My current research focuses on developing deep learning models for multilingual NLP methods, particularly for low-resource and endangered languages. Since these languages often have little to no annotated data to train supervised models, my work has introduced semi-supervised, zero-shot, and transfer learning methods to improve language technologies in such low-data scenarios.

In the past, I’ve worked as a research intern at Bloomberg AI and as a research fellow at Microsoft Research. More information about my work experience, publications, and academic service can be found in my CV.

I’m on the job market! Please send me an email if you think I’d be a good fit for your research group.