Zhoujie Ding is a first-year MS student in the CS department passionate about studying trustworthy foundation models (especially LLMs) and building machine learning serving systems. Currently, he is collaborating with Berivan on researching the trustworthiness of LLMs and exploring the impact of applying differential privacy to these models. He completed his undergraduate from UC Berkeley in CS and Applied Mathematics. In his free time, he likes to play basketball, poker, and video games. Feel free to reach out to him if you have any interesting research idea and seek collaboration.