Multilingual Language Technology
How can language technologies better understand and support low-resource languages and dialects?

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I'm currently pursuing my master's at McGill University and Mila, advised by Timothy O'Donnell.
Previously, I was a Research Scientist Intern at AMD. My undergrad was in Computer Science and Cognitive Systems at the University of British Columbia, where I was fortunately advised by Jian Zhu, Alan Hu, and Cristina Conati.
I am interested in incorporating formal methods and linguistic theories into modern language technologies to better learn, represent, and reason about language, especially in multilingual and low-resource domains. The overall goal of these endeavours is to help individuals learn languages more efficiently to facilitate intercultural communication.
How can language technologies better understand and support low-resource languages and dialects?
How can both probabilistic programs and formal methods be applied to language models to improve their reliability and interpretability?
How can statistical models learn grammatical structure from limited data, and what can this process tell us about human language learning?
The time I interpreted for my mother at the hospital with my nurses in high school was one of the most fulfilling moments in my life. It was then I realized to always value the interpersonal connections in my life, and that I wanted to do work that allowed people to deeply connect with each other.
Naturally, language is the universal medium that allows people to communicate, and I want to focus on researching the ways in which people can learn language-specific nuances more effectively, and the computer systems that can assist in this effort.
My hobbies include watching comedy skits on YouTube, listening to sappy Chinese music, going on walks at night, and, of course, learning languages.
