Registered user since Fri 14 Apr 2023
I am a final-year PhD candidate in Computer Science at University of California, Riverside. Before starting the doctorate journey in CS, I earned MS and BS degrees from Duke University and University of Science and Technology of China, both in Chemistry.
I am currently focusing on performance optimization for math libraries on CPUs, GPUs and heterogeneous platforms. I have interned with the XPU Architecture Research team at Intel Corporation working on GPU-accelerated homomorphic encryption. In 2022 Spring, I have been with the Machine Learning System team at ByteDance US as a Research Intern. In 2022 Summer, I was with the Fast Kernels team at NVIDIA Corporation as an engineering intern, where I will return as a full-time employee after graduation.
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