About

Hello! I am a computer science PhD student at CWRU. My research interests lie in causal inference, model interpretability, and concept learning.

I obtained my master’s degree in Computer Science at UCSD, where I research improving the explainability 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 UW, Seattle, majoring in Human-Centered Design & Engineering (Data Science option), where I was lucky to work with Sourojit Ghosh and Dr. Yunhe Feng.