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I received my Ph.D. in Computer Science from Yale University, where I was advised by Professor Anurag Khandelwal and Professor Lin Zhong. My research focuses on designing efficient cache-coherence and synchronization protocols for large-scale shared-memory systems.

During my Ph.D., I spent two summers as a research intern with the Architecture Research Group at NVIDIA, where I worked on systems and architectures for Large Language Models (LLMs).

My work was named an IEEE Micro Top Pick in Computer Architecture (2025) and received a Distinguished Artifact Award at ISCA 2025. Techniques from my research have been adopted in NVIDIA’s Vera Rubin platform.

Before Yale, I completed my undergraduate studies at Peking University.