About Me

I am a Ph.D. student in Operations Research and Financial Engineering (ORFE) at Princeton University, where I am fortunate to be advised by Professor Jianqing Fan.

Before joining Princeton, I received my M.S. in Management Science and Engineering (MS&E) from Stanford University in 2025, where I worked with Professors Yinyu Ye, Madeleine Udell, and Ellen Vitercik. I earned my B.S. in Mathematics and Statistics from the University of Michigan in 2023, graduating summa cum laude with High Honors in both majors.

Research Interests

My research lies at the intersection of statistical learning, optimization, and online decision-making, with a particular focus on large language models (LLMs). I am interested in the statistical and algorithmic foundations of intelligent systems that learn from imperfect information, adapt through feedback, and make reliable decisions.

In particular, my research asks when feedback leads to genuine improvement, how to assess reliability when a system’s decisions shape the data it observes, and how to allocate limited computation to improve decision quality. My goal is to develop methods whose reliability and efficiency can be characterized mathematically and tested empirically, with applications to LLM reasoning, scientific discovery, and data-driven decision-making.