About

Hello! I am a computer science graduate student at UCSD. My research interests lie in NLP and LLMs, where I research improving the interpretability and reliability of LLMs. I initiated a project to develop a text benchmark dataset for LLM interpretability and causal inference with the help of Dr. Amir Feder at Columbia University.

I obtained my undergraduate degree at the University of Washington, Seattle, majoring in Human-Centered Design & Engineering (Data Science option), where I was lucky to work with Sourojit Ghosh and Dr. Yunhe Feng at UW Seattle.