The group of Marc G. Genton, Al-Khawarizmi Distinguished Professor of Statistics, works on the statistical analysis, modeling, prediction, and uncertainty quantification of spatio-temporal data, with applications in environmental and climate science, renewable energies, geophysics, and marine science.

SINAPE talk: here

Talks from STSDS@KAUST members!
When possible, we make talks from STSDS@KAUST members available on our YouTube channel.


Our research activities include the following topics:

  • Spatio-temporal statistics
  • Data science
  • Spatial extremes
  • Geostatistics for large datasets
  • Non-Gaussian random fields
  • Copulas
  • Multivariate spatial statistics
  • Nonstationary models
  • Wind and solar power forecasting
  • Multivariate data analysis
  • Data mining and machine learning
  • Visualization of functional and image data
  • Skew-elliptical distributions
  • Robustness
  • Data assimilation

MPCR: Highly Optimized Multi-Precision Package in R

  • MPCR main repo (v1.1.0, November 5th, 2023): click here

ExaGeoStat: Geostatistics at Exascale!

2021 KAUST Competition on Spatial Statistics for Large Datasets