About Ying Sun Ying Sun Professor (former), Statistics spatio-temporal statistics environmental applications computational statistics Professor Ying Sun leads a research group focusing on environmental statistics. She is at the forefront of developing advanced models and methodologies in the fields of spatio-temporal statistics, functional data analysis and process monitoring. Articles Related News May 2026 Professor Ying Sun receives the 2026 ENVR Distinguished Achievement Award 3 min read · Sun, May 17 2026 Awards News spatio-temporal statistics environmental applications computational statistics Professor Ying Sun has received the 2026 ENVR Distinguished Achievement Award from the American Statistical Association’s Section on Statistics and the Environment. December 2025 KAUST researchers define the emerging field of high-performance statistical computing (HPSC) 4 min read · Sun, Dec 14 2025 News exascale GPU HPC mixed-precision computing Statistical computing KAUST researchers outline a new discipline for statistical computing at supercomputing scale. April 2025 Professor Ying Sun elected as a Fellow of the American Statistical Association 3 min read · Tue, Apr 22 2025 News spatio-temporal statistics Environmental Statistics computational statistics Ying Sun joins the elite ranks of ASA Fellows in 2025 for her contributions to spatial statistics, mentoring and global outreach. November 2024 KAUST wins the “Nobel” of high-performance computing for climate modeling 1 min read · Fri, Nov 22 2024 News Clip News HPC climate projections extreme computing computational simulations uncertainty quantification KAUST has been awarded the “Nobel" prize of high-performance computing—the ACM Gordon Bell Prize for Climate Modelling—in partnership with the NSF National Center for Atmospheric Research, U.S. and other partner institutions. July 2024 Finer forecasting to improve public health planning 1 min read · Wed, Jul 31 2024 News Clip News A method for forecasting high-dimensional functional time series could improve the accuracy of mortality predictions across multiple populations. KAUST team selected as ACM Gordon Bell Prize for Climate Modelling finalists 4 min read · Tue, Jul 23 2024 News A new exascale climate emulator marks a significant advancement as the first to generate, display and evaluate hourly emulations. This breakthrough secured an interdisciplinary research team from KAUST, working alongside the NSF National Center for Atmospheric Research in the U.S. and other partner institutions, a spot as a finalist for the prestigious Gordon Bell Prize in Climate Modelling. November 2023 Neural networks give deeper insights 2 min read · Wed, Nov 22 2023 News A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.
Professor Ying Sun receives the 2026 ENVR Distinguished Achievement Award 3 min read · Sun, May 17 2026 Awards News spatio-temporal statistics environmental applications computational statistics Professor Ying Sun has received the 2026 ENVR Distinguished Achievement Award from the American Statistical Association’s Section on Statistics and the Environment.
KAUST researchers define the emerging field of high-performance statistical computing (HPSC) 4 min read · Sun, Dec 14 2025 News exascale GPU HPC mixed-precision computing Statistical computing KAUST researchers outline a new discipline for statistical computing at supercomputing scale.
Professor Ying Sun elected as a Fellow of the American Statistical Association 3 min read · Tue, Apr 22 2025 News spatio-temporal statistics Environmental Statistics computational statistics Ying Sun joins the elite ranks of ASA Fellows in 2025 for her contributions to spatial statistics, mentoring and global outreach.
KAUST wins the “Nobel” of high-performance computing for climate modeling 1 min read · Fri, Nov 22 2024 News Clip News HPC climate projections extreme computing computational simulations uncertainty quantification KAUST has been awarded the “Nobel" prize of high-performance computing—the ACM Gordon Bell Prize for Climate Modelling—in partnership with the NSF National Center for Atmospheric Research, U.S. and other partner institutions.
Finer forecasting to improve public health planning 1 min read · Wed, Jul 31 2024 News Clip News A method for forecasting high-dimensional functional time series could improve the accuracy of mortality predictions across multiple populations.
KAUST team selected as ACM Gordon Bell Prize for Climate Modelling finalists 4 min read · Tue, Jul 23 2024 News A new exascale climate emulator marks a significant advancement as the first to generate, display and evaluate hourly emulations. This breakthrough secured an interdisciplinary research team from KAUST, working alongside the NSF National Center for Atmospheric Research in the U.S. and other partner institutions, a spot as a finalist for the prestigious Gordon Bell Prize in Climate Modelling.
Neural networks give deeper insights 2 min read · Wed, Nov 22 2023 News A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.
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