Hi there, I'm Sue!

I'm a Graduate Student in Data Sciene at Brown University pursuing research in deep learning (DL) and natural language processing (NLP), with a focus on large language models (LLMs). My current interests center on inference performane evaluation, compositional generalization, interpretability, and understanding failure modes in neural language models.

Previously, I worked as a Marketing Analyst building predictive models and analytics tools in advertising, edtech, and nonprofit sectors. While that work was rewarding, I became increasingly interested in fundamental questions about how AI systems learn and reason. This led me to NLP and DL, where I'm now exploring how transformer-based models handle compositional language structures.