I'm passionate about responsible NLP, AI for social good, and promoting AI literacy.

My background is in natural language processing (NLP) with a focus on addressing harmful biases in large language models. I also have experience in vision-and-language models such as Stable Diffusion.
Beyond my academic pursuits, I am enthusiastic about linguistics and abstract math (especially category theory!). In my free time, I enjoy playing ultimate frisbee and nurturing a growing collection of house plants.

Recent Work

LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users

arXiv preprint

Empowering K12 Educators: Fostering Collaborative Intelligence with Generative AI

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

Accepted to ACL 2022!