Hello! I am a Computer Science PhD student at CWRU. My research focuses on large multimodal models, aiming to improve inference efficiency. 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.
