Shujian Zhang

I am a Research Scientist at Google DeepMind, working on Gemini. My research focuses on natural language processing and machine learning, with a particular emphasis on the post-training of large language models. I am especially interested in instruction tuning, preference modeling, and reinforcement learning from human feedback.

I completed my Ph.D. at the University of Texas at Austin, advised by Prof. Mingyuan Zhou. Prior to that, I obtained my Bachelor’s degree from University of Rochester. During my PhD, I also did some fun internships at Salesforce Research (Summer 2023) and Microsoft Azure AI (Summer 2021 - Winter 2022).