PhD Candidate in Statistics and High Performance Computing
I am a PhD candidate in Statistics and High Performance Computing at King Abdullah University of Science and Technology (KAUST). My research focuses on statistical methods and computational models in data science.
My research interests include but are not limited to:
arXiv:2504.12004
We propose a block Vecchia approximation for scalable and efficient Gaussian process computations. Our approach leverages the Vecchia approximation to reduce the computational complexity of Gaussian process computations, allowing for faster and more efficient inference.
Technometrics, 2025
We propose a block Vecchia approximation for scalable and efficient Gaussian process computations. Our approach leverages the Vecchia approximation to reduce the computational complexity of Gaussian process computations, allowing for faster and more efficient inference.
ISC High Performance, 2024
We propose a GPU-accelerated Vecchia approximation for scalable and efficient Gaussian process computations. The proposed framework using the KBLAS library is tested on NVIDIA V100/A100/H100 GPUs and achieves 800X to 1300X speedup compared to the ExaGeoStat (exact GPs) implementation.
King Abdullah University of Science and Technology, KSA
Sep 2021 - Present
Wuhan University of Technology, China
Sep 2017 - June 2021
Huazhong University of Science and Technology, China
Jan 2019 - June 2021