I’m a PhD student in the Department of Statistics. My research focuses on developing statistical methods for evaluating and improving modern AI systems, with particular interest in preference modeling, reliable statistical inference, and reinforcement learning from human feedback. More broadly, I am interested in problems at the intersection of statistics and machine learning, especially those motivated by real-world AI applications.