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STAT
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Leading Statistical Innovation

The Statistics (STAT) Program at KAUST educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. It boasts superb facilities and resources, including access to the latest supercomputing and visualization facilities. Combined with the state-of-the-art experimental laboratories, experimental studies at KAUST are almost unconstrained by physical resources.

Watch Stat Program on YouTube.

Faculty and Groups

Browse our faculty profiles and research groups to explore their expertise, research interests and impactful contributions that drive innovation and discovery at KAUST.

Faculty Profiles

Research Groups

Research

Research at the STAT Program pushes the boundaries of statistical theory and its application to address pressing national and global challenges in healthcare, environmental sustainability and beyond. Key research areas include:

Statistical Methodology
Health and Environmental Applications
Extreme Events and Risk Analysis

The Visiting Student Research Program (VSRP)

The KAUST VSRP is an exciting three-to-six-month research internship opportunity that provides research experience for highly qualified and motivated STEM students to work alongside leading faculty and researchers on impactful projects.

Find a research project that aligns with your study area and apply.

Learn more about VSRP

News

CEMSE Division releases 2024-2025 annual report

1 min read · Mon, Oct 27 2025

News

Annual Reports

Internet searches offer early warnings of disease outbreaks

1 min read · Sun, Oct 19 2025

News Clip News

Mapping risk on networks: A scalable model for spatial point processes earns international recognition

2 min read · Mon, Jul 28 2025

Awards News

spatial statistics Gaussian processes R-INLA

more

Upcoming Events

The KAUST 2025 Workshop on Statistics

Nov 2, 09:00 - Nov 6, 17:00

Between Building 2 / 3, Level 0, Auditorium 0215

Vecchia Approximations of Gaussian Processes on GPUs for Scalable Spatial Modeling and Computer Model Emulation

Qilong Pan, Ph.D. Student, Statistics
Nov 12, 09:00 - 11:00

B5 L5 R5209

statistics spatio-temporal statistics GPU Computing HPC

Will AI Replace Professors?

Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego

Dec 4, 12:00 - 13:00

B2/B3 A0215

more

Join KAUST

Join world-class research on the shores of the Red Sea.

KAUST Students

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Statistics (STAT)

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