Qilong Pan
Qilong Pan's research focuses on developing scalable statistical methods, with a particular emphasis on Gaussian Processes and GPU acceleration.
Biography
Qilong Pan is a Ph.D. candidate in Statistics at KAUST, under the supervision of Prof. Ying Sun. Prior to his Ph.D., he earned a master's degree in Statistics at KAUST, and a bachelor's degree in Statistics from Wuhan University of Technology.
Research Interests
Qilong Pan's work bridges statistical modeling, optimization, and high-performance computing (HPC) to tackle complex challenges in geospatial analytics and machine learning.
Education
- Master of Science (M.S.)
- Statistics, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2023
- Bachelor of Science (B.S.)
- Statistics, Wuhan University of Technolgy, China, 2021
- Bachelor of Arts (BA)
- English, Huazhong University of Science and Technology, China, 2021
Quote
Try broadly and study deeply.
Related People
Academic Advisors
Ying Sun
- Associate Professor, Statistics
