I am a final-year PhD candidate in Statistics at the University of Wisconsin–Madison, advised by Professor Yazhen Wang. My research focuses on developing statistical and computational methods for complex quantitative problems, with current work in Bayesian inference, sequential methods, and quantum computing.

I am particularly interested in problems that combine rigorous statistical reasoning, algorithm design, and large-scale computation. My work spans Bayesian methods for quantum algorithms, uncertainty quantification, statistical machine learning, and high-performance computing, with experience in Python, C/C++, CUDA, R, and Qiskit.

More broadly, I am interested in quantitative research problems at the intersection of statistics, machine learning, stochastic methods, and computation. In my spare time, I enjoy traveling and playing basketball.