I am a Ph.D. candidate in the Language Technologies Institute at Carnegie Mellon University, advised by Graham Neubig.
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.
My current research focuses on developing deep learning models for multilingual NLP. My work has introduced semi-supervised, zero-shot, and transfer learning methods to improve language technologies in low-resource scenarios.
I was recently named to the Forbes 30 Under 30 in Science list for my work on NLP for endangered languages!
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.