About Haziq Jamil Haziq Jamil Research Specialist, Statistics Statistical methodology Bayesian computational statistics Latent variable models Structural equation models Item Response Theory Haziq Jamil is a Research Specialist at the King Abdullah University of Science and Technology. His research focuses on statistical theory, methods and computation, with a special inclination towards social science applications. Articles Related News May 2026 Pioneering Public Health Frontiers 1 min read · Tue, May 19 2026 News INLA Public Health Spatial and spatio-temporal statistics Latent variable models Structural equation models It has been an exhilarating week of international scientific exchange for our research group. From May 11th to 15th, 2026, members of our team had the distinct honour of travelling to Fudan University in Shanghai, on the invitation of Professor Dr. Zhijie Zhang. The trip aims to lay the groundwork for a highly impactful, cross-border partnership in public health analytics. April 2026 Dr. Haziq Jamil Delivers International Guest Lecture at UIN Mataram 1 min read · Tue, Apr 28 2026 News Clip R-INLA Item Response Theory Latent variable models latent Gaussian models Our research group continues to expand its global footprint and strengthen international academic ties. Dr. Haziq Jamil, a Research Specialist in the BAYESCOMP team at KAUST, was invited to deliver an online international guest lecture at the Universitas Islam Negeri (UIN) Mataram in Indonesia. March 2026 BAYESCOMP Group Secures CRG Funding to Revolutionize Latent Variable Modeling 2 min read · Tue, Mar 10 2026 Awards award CRG Bayesian and computational Statistics Latent variable models Structural equation models Item Response Theory Confirmatory factor analysis The KAUST Bayesian Computational Statistics and Modeling (BAYESCOMP) Research Group is pleased to announce the award of a 2025 Competitive Research Grant (CRG) for the project: "Advancing scalable Bayesian methods for latent variable modelling." The project is funded at USD $900,000 for 36 months, with the research program officially commencing in April 2026. February 2026 Dr. Haziq Jamil Presents Advances in Bayesian Structural Equation Modeling at Psychoco 2026 1 min read · Mon, Feb 9 2026 Research in Focus Structural equation models Bayesian and computational Statistics Expanding KAUST’s footprint in computational psychometrics, Dr. Haziq Jamil recently shared his latest research on advanced statistical methodologies across two major European academic venues.
Pioneering Public Health Frontiers 1 min read · Tue, May 19 2026 News INLA Public Health Spatial and spatio-temporal statistics Latent variable models Structural equation models It has been an exhilarating week of international scientific exchange for our research group. From May 11th to 15th, 2026, members of our team had the distinct honour of travelling to Fudan University in Shanghai, on the invitation of Professor Dr. Zhijie Zhang. The trip aims to lay the groundwork for a highly impactful, cross-border partnership in public health analytics.
Dr. Haziq Jamil Delivers International Guest Lecture at UIN Mataram 1 min read · Tue, Apr 28 2026 News Clip R-INLA Item Response Theory Latent variable models latent Gaussian models Our research group continues to expand its global footprint and strengthen international academic ties. Dr. Haziq Jamil, a Research Specialist in the BAYESCOMP team at KAUST, was invited to deliver an online international guest lecture at the Universitas Islam Negeri (UIN) Mataram in Indonesia.
BAYESCOMP Group Secures CRG Funding to Revolutionize Latent Variable Modeling 2 min read · Tue, Mar 10 2026 Awards award CRG Bayesian and computational Statistics Latent variable models Structural equation models Item Response Theory Confirmatory factor analysis The KAUST Bayesian Computational Statistics and Modeling (BAYESCOMP) Research Group is pleased to announce the award of a 2025 Competitive Research Grant (CRG) for the project: "Advancing scalable Bayesian methods for latent variable modelling." The project is funded at USD $900,000 for 36 months, with the research program officially commencing in April 2026.
Dr. Haziq Jamil Presents Advances in Bayesian Structural Equation Modeling at Psychoco 2026 1 min read · Mon, Feb 9 2026 Research in Focus Structural equation models Bayesian and computational Statistics Expanding KAUST’s footprint in computational psychometrics, Dr. Haziq Jamil recently shared his latest research on advanced statistical methodologies across two major European academic venues.
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