About Esmail Abdul Fattah Esmail Abdul Fattah Postdoctoral Research Fellow, Statistics HPC Introduction I am currently serving as a Postdoctoral Researcher at the Extreme Computing Research Center at KAUST, where I have the privilege of working under the leadership of the center's director, Professor David Keyes. My research journey here is further enriched by the close collaboration and guidance I receive from Dr. Hatem Ltaief, whose expertise significantly contributes to my professional growth and research endeavors in this dynamic field. My academic journey led me to earn a Ph.D. in Statistics under the mentorship of Professor Håvard Rue, working within his esteemed research Articles Related News April 2026 Dr. Krainski and Dr. Esmail Lead INLA Training and Showcase Novel Graph-Based Correlation Models in Montpellier 1 min read · Sun, Apr 19 2026 News INLA The BAYESCOMP research group continues to amplify its global scientific footprint, demonstrating leadership in advanced statistical computing and Bayesian inference through a highly successful recent visit to Montpellier. The R-INLA Project Launches Revamped Website 1 min read · Wed, Apr 8 2026 News R-INLA INLA For researchers pushing the boundaries of scalable statistical modeling, the R-INLA framework is a cornerstone of daily computational work. We are excited to share that the official R-INLA project has officially launched a brand-new, modernized website. March 2026 Highlighting Scalable Statistical Innovations at SIAM PP26 1 min read · Sun, Mar 8 2026 Research in Focus HPC spatio-temporal statistics Our research team recently made a strong showing at the SIAM Conference on Parallel Processing for Scientific Computing (PP26), driving important conversations around data-driven modeling and high-performance statistical analysis.
Dr. Krainski and Dr. Esmail Lead INLA Training and Showcase Novel Graph-Based Correlation Models in Montpellier 1 min read · Sun, Apr 19 2026 News INLA The BAYESCOMP research group continues to amplify its global scientific footprint, demonstrating leadership in advanced statistical computing and Bayesian inference through a highly successful recent visit to Montpellier.
The R-INLA Project Launches Revamped Website 1 min read · Wed, Apr 8 2026 News R-INLA INLA For researchers pushing the boundaries of scalable statistical modeling, the R-INLA framework is a cornerstone of daily computational work. We are excited to share that the official R-INLA project has officially launched a brand-new, modernized website.
Highlighting Scalable Statistical Innovations at SIAM PP26 1 min read · Sun, Mar 8 2026 Research in Focus HPC spatio-temporal statistics Our research team recently made a strong showing at the SIAM Conference on Parallel Processing for Scientific Computing (PP26), driving important conversations around data-driven modeling and high-performance statistical analysis.
Engage ORCID ShareClipboard Related Sites Bayesian Computational Statistics and Modeling (BAYESCOMP) Hierarchical Computations on Manycore Architectures (HiCMA) Statistics (STAT) Related Content Articles 3 Related Links Approximate Bayesian Inference for the Interaction Types 1, 2, 3 and 4 with Application in Disease Mapping Smart Gradient - An Adaptive Technique for Improving Gradient Estimation INLA+ -- Approximate Bayesian inference for non-sparse models using HPC Non-stationary Bayesian spatial model for disease mapping based on sub-regions. Esmail Abdul Fattah profile on LinkedIn Personal Website