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.

Biography

Haziq Jamil is a Research Specialist at the KAUST, currently on leave from his position as Assistant Professor in Statistics at Universiti Brunei Darussalam (UBD). He obtained his Ph.D. and M.S. in Statistics from the London School of Economics and Political Science (LSE), and his B.S. from Warwick University. At KAUST, he works with Prof. Håvard Rue in the BAYESCOMP group, tackling the computational challenges of Bayesian inference for modern psychometric applications of latent variable modelling.

Research Interests

Haziq's research focuses on statistical theory, methods and computation, with a special inclination towards social science applications.  He is passionate about bringing data and technology to the forefront of our daily interaction with the world. Using the R programming language, he builds statistical models for data analysis in order to gain insights, make predictions, and aid decision-making. He is frequently engaged in cross-disciplinary research collaborations and statistical consultations.

Professional Profile

Service Contributions

Service to the Discipline or Profession
  • Chair, Brunei R User Group, 2024 - 2026

  • Associate Editor, Journal of Statistical Theory and Applications, 2025 - present

Stakeholder Engagement
  • Auditor, Brunei Down’s Syndrome Association (ABLE), 2013 - 2015

Awards and Distinctions

Qualifications

Education

Doctor of Philosophy (Ph.D.)
Statistics, London School of Economics and Political Science, United Kingdom, 2018
Master of Science (M.S.)
Statistics, London School of Economics and Political Science, United Kingdom, 2014
Bachelor of Science (B.S.)
Mathematics, Operational Research, Statistics, and Economics, University of Warwick, United Kingdom, 2010

Languages

English
Full professional proficiency
Bahasa Melayu
Native or bilingual proficiency

Selected Publications

  • Jamil, H., Moustaki, I., & Skinner, C. (2025). Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling. British Journal of Mathematical and Statistical Psychology, 78(1), 27. https://doi.org/10.1111/bmsp.12358