About me

I am a PhD graduate from the University of Texas at Arlington, where I conducted my research under the guidance of Dr. Jeff Lei. My research interests lie at the intersection of Software Engineering and Artificial Intelligence, with a focus on the reliability and trustworthiness of AI-enabled software systems.

Throughout my PhD, I specialized in Machine Learning (ML), Explainable AI (XAI), and Generative AI. I am experienced in building reliable and transparent AI systems, fine-tuning Large Language Models (LLMs), debugging and optimizing ML models and frameworks, conducting software testing and probabilistic modeling, and leading large-scale experimental research to enhance AI robustness and interpretability.

I am driven by the goal of overcoming the engineering challenges associated with developing methodologies that ensure the robust, ethical, and transparent deployment of AI technologies. My current focus includes advancing Explainable Artificial Intelligence (XAI), fine-tuning and deploying machine learning models with an emphasis on reliability and transparency, and innovating new approaches for the testing and debugging of ML/AI systems.