I am a fifth-year Ph.D. candidate in Computer Science at Purdue University, advised by Prof. Changhee Jung. Before that, I received my Master's degree from Peking University, advised by Prof. Xianhua Liu at MPRC, and my Bachelor's degree from Dalian University of Technology.

My research focuses on providing reliable and high-performance systems across embedded platforms, server-class CPUs, and GPUs. I pursue these goals through compiler–architecture co-design, aiming to maximize performance while minimizing hardware overhead. As part of this journey, I have explored cutting-edge architectures like CXL for server-class CPUs and GPUs to better understand their performance potential.

More recently, I am also interested in applying machine learning to energy-harvesting systems in ways that are both energy-efficient and reasonable, with the goal of designing smarter, more sustainable systems.