Advisor: Micha Elsner

My research interests lie at the intersection of computational modeling, morphological typology, and low-resource machine learning. 

I'm committed to collaborative, ethical, and responsible AI development, particularly for low-resource and minoritized language varieties. I'm thinking a lot these days about how we can leverage LLMs and other generative AI models to shift old paradigms and make the development of language technologies more equitable and accessible. 

I specialize in morphological typology and low-resource languages in contact, which is to say, I strive to build models that can interface with a wide range of linguistic structures as they're actually used in real life -- with all the messiness, complexity, and rich variability that make them so beautifully human! 

Current Projects:

• AI Software Tools for Collaborative Data Analysis
  • LLMs for low-resource translation
  • Active learning methods for morphological annotation
• Computational Modeling of the Maltese Lexicon
  • Information theoretic analysis of morphology in contact 

Past Projects:

• CogSciDIY language science outreach for high school students
• Countability and classifiers in Taiwanese Hokkien
• Quantitative analysis of Mandarin morphology

Presentations:

• Responsible Applications of LLMs for Low-Resource Translation - University of Malta - 03/26/25
• AI Basics for High Schoolers - COSI Language Pod - 02/20/25
• Women in AI & Tech - Center for Healthy Families - 05/15/24

Publications:

Links to all publications are available via my Google Scholar page.