Ziyi Zhao is a Systems PhD candidate at Rice University with eight years of research and industry experience building OS and GPU memory systems, currently interning on NVIDIA’s CUDA UVM team in Houston. She architects and implements adaptive page-migration and data-placement mechanisms that transparently move data across CPU/GPU and multi-tier memories, delivering up to 17% workload gains and orders-of-magnitude speedups over baseline UVM on datacenter workloads. Her background spans simulation frameworks, microbenchmark-driven performance characterization, and published work on lock-free data structures and DBT scaling, reflecting a blend of practical product delivery and rigorous evaluation. Ziyi is seeking 2026 roles in OS/kernel and accelerator systems, bringing a knack for turning nuanced memory-access analyses into concrete runtime and driver features that improve real-world GPU execution.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Rice University
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Nankai University
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