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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

Building bridges between mathematical statistics and real-world impact

4 min read · Tue, Jan 6 2026

Spotlight News Research in Focus

mathematical statistics random fields stochastic partial differential equations computational statistics

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 named No. 1 in the Times Higher Education Arab University Rankings for third consecutive year

1 min read · Thu, Nov 27 2025

News Clip News Press Releases

more

Upcoming Events

KAUST CEMSE AMCS STAT Graduate Seminar Thursday, Apr. 2

A Unified Monotonicity Framework for Mean-Field Games

Rita A. Ferreira, Research Scientist, Mean-field Games and Nonlinear PDE
Apr 2, 12:00 - 13:00

B9 R2325

gamma-convergence asymptotic analysis variational analysis Variational mean-field games

KAUST CEMSE Dean's Distinguished Lecture Rethinking Research: The Role of Humans in Scientific Discovery in the Age of LLMs*

Rethinking Research: The Role of Humans in Scientific Discovery in the Age of LLMs*

Sir Bashir M. Al-Hashimi, Vice President, Research & Innovation, King’s College London (KCL); Distinguished Professor, Department of Engineering, Faculty of Natural, Mathematical & Engineering Sciences, King’s College London (KCL)

Apr 8, 12:00 - 13:00

B9 R2325

AI artificial intelligence LLM scientific research scientific knowledge Assistive Technology

KAUST CEMSE Dean's Distinguished Lecture Sebastian Pokutta How Machines Explore, Conjecture, and Discover Mathematics

How Machines Explore, Conjecture, and Discover Mathematics

Sebastian Pokutta, Vice President, Zuse Institute Berlin (ZIB); Professor, Technische Universität Berlin (TU Berlin)

Apr 9, 12:00 - 13:00

B9 R2325

machine learning artificial intelligence AI optimization Structures

more

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

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Statistics (STAT)

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