Haziq Jamil
Research Specialist at KAUST (King Abdullah University of Science and Technology)
Thuwal, Makkah Region, Saudi Arabia
Summary
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Senior🎓
Top SchoolHaziq Jamil is a research-focused statistician and computational methodologist with about a decade of experience, currently a Research Specialist at KAUST’s BAYESCOMP group and on leave from an Assistant Professorship at Universiti Brunei Darussalam. He develops fast, approximate Bayesian inference techniques—primarily using R-INLA—for modern psychometric latent variable models and their spatio-temporal and intensive longitudinal extensions. Trained at LSE (PhD, MSc) and Warwick (MMORSE), his doctoral work introduced Fisher information–dependent priors in a vector-space framework for regression, classification, and variable selection. Haziq blends theoretical depth with applied impact, having supported defence acquisition analytics in Brunei and now collaborating with leading computational statisticians such as Prof. Håvard Rue. He combines academic teaching and visiting fellow roles with hands-on methodological development, making him adept at translating advanced Bayesian computation into practical social-science applications. An oft-overlooked strength is his background in sports-modeling (Bradley–Terry work on Premier League data), reflecting a long-standing interest in applied ranking and comparative inference.
10 years of coding experience
Cambridge International AS and A Levels, Cambridge International AS and A Levels at Maktab Sains Paduka Seri Begawan SultanLondon School of Economics and Political ScienceBachelor of Science (BSc) & Masters, Bachelor of Science (BSc) & Masters at University of Warwick
Malay, English
Github Skills (60)
missing-data10
r-package10
psychometrics10
factor-analysis10
structural-equation-modeling10
equation10
modeling9
rmarkdown8
jags8
census8
rstudio8
hugo-theme8
r8
netlify8
markov8
Programming languages (5)
Github contributions (5)
haziqj/diagacc
Nov 2018 - Nov 2020
Modelling Diagnostic Accuracy using Latent Class Models
Contributions:2 PRs, 48 pushes, 2 branches in 2 years
machine-learningmeasurementdiagnosticlatentmodelling
haziqj/ubd-beamer
Dec 2020 - Dec 2022
Contributions:1 release, 18 pushes, 1 branch in 2 years
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