Haziq Jamil

haziq.jamil@kaust.edu.sa https://haziqj.ml

I am a Research Specialist working at King Abdullah University of Science and Technology (KAUST), currently on leave from my position as an Assistant Professor in Statistics at Universiti Brunei Darussalam (UBD). My expertise lie in statistical methodology and computation, with applications towards the natural and social sciences.

I am passionate about bringing data and technology to the forefront of our daily interaction with the world. Using the R programming language, I build statistical models for data analysis in order to gain insights, make predictions, and aid decision-making. I am frequently engaged in cross-disciplinary research collaborations and statistical consultations.

Research Interests

Latent variable models		Bayesian estimation
Composite likelihood methods		Integrated Nested Laplace Approximation (INLA)
Spatio-temporal models		Hedonic pricing models

Education

year	what
2014 — 2018	PhD in Statistics, London School of Economics and Political Science Supervisors: Wicher Bergsma¹ and Irini Moustaki² Thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)³
2013 — 2014	MSc in Statistics (distinction), London School of Economics and Political Science
2006 — 2010	BSc & Master in Mathematics, Operational Research, Statistics and Economics (first class honours), University of Warwick Supervisor: David Firth⁴ Dissertation: The analysis of paired comparison data using Bradley-Terry models with applications to football data

Awards & honours

year	what
2023	Teaching Excellence Award in the Sciences, Universiti Brunei Darussalam
2020	Arnold Zellner Thesis Award in Econometrics and Statistics (honourable mention)⁵, American Statistical Association (Business and Economic Statistics Section)
2013 — 2018	In-Service Training Scheme Scholarship, Public Service Commission, Prime Minister’s Office, Brunei
2006 — 2010	Supreme Commander of The Royal Brunei Armed Forces Scholarship⁶, Ministry of Defence, Brunei

Employment

year	what
2025 — present	Research Specialist King Abdullah University of Science and Technology⁷ I conduct research on efficienct Bayesian computational methods for latent variable modeling within the BAYESCOMP group led by Prof. Håvard Rue.
2024 — 2027	Visiting Fellow Department of Statistics, London School of Economics and Political Science⁸ The School’s Visiting Appointments Scheme is a device to help Departments, Institutes and Centres invite staff who are either practitioners or academics in other institutions to conduct research and other activities.
2019 — present	Assistant Professor in Statistics Mathematical Sciences, Faculty of Science, Universiti Brunei Darussalam⁹ [Leave of absence from August 2025] I teach SM-1402 Basic Statistics, SM-2302 Software for Mathematicians, SM-4331 Advanced Statistics, SM-4335 Advanced Probability, and CU-0304 Sciences for University Study. I also supervise mathematics students’ final year projects. In addition to my teaching duties, I am the current Postgraduate Coordinator (Mathematics). I previously held the post of Discovery Year¹⁰ advisor (2019-2021).
2010 — 2014 2018 — 2019	Graduate Teaching Assistant Department of Statistics, London School of Economics and Political Science¹¹ I held various teaching roles ranging from secondary teaching to marking for masters (ST416 Multilevel Modelling, ST421 Development in Statistical Methods) and undergraduate level courses (ST312 Applied Statistics Project) at the LSE. In addition, I also held assistant invigilator and examiner roles for both the LSE and the University of London International Examinations respectively.
2010 — 2019	Research Officer Centre for Science and Technology, Research and Development (CSTRAD), Ministry of Defence, Brunei¹² I provided analytical insight into matters arising from strategic procurement activities of the Royal Brunei Armed Forces (RBAF). This entailed market research, cost-benefit analyses, and writing technical reports. I was a core team member for the procurement and delivery of 12 Sikorsky S-70i helicopters¹³ (US$325M), and also the focal point for the development of tender evaluation criteria using the Analytic Hierarchy Process.

Service

year	what
2024 — 2026	Chair Brunei R User Group¹⁴
2020 — present	Ad-hoc Reviewer Annals of Applied Statistics¹⁵; Journal of the Royal Statistical Society: Series C¹⁶
2020 — present	Review Editor Frontiers in Applied Mathematics and Statistics¹⁷
2020	Guest Lecturer Universiti Teknologi Brunei¹⁸

Consultancy

year	what
2021 — 2022	Statistical Modelling Ministry of Defence, Brunei Project: Human performance optimisation
2017 — 2018	Data Analyst Universiti Brunei Darussalam Project: The unmet needs of cancer carers in Brunei Darussalam.

Grants and funding

year	what
2026 — 2029	Advancing scalable Bayesian methods for latent variable modelling (USD 900,000), KAUST Competetive Research Grant¹⁹. Role: Co-Investigator
2024	R User Groups (RUGS) Program Grants (USD 500), R Consortium²⁰
2023 — 2024	Predictive potential of graphical descriptors for QSPR/QSAR model learning of compounds (~BND 15,700), Faculty of Science Research Grant, Universiti Brunei Darussalam. Role: Co-Principal Investigator
2021 — 2024	Extension of I-prior methodology to nominal response models (~BND 7,000), Faculty of Science Research Grant, Universiti Brunei Darussalam. Role: Principal Investigator
2021 — 2024	Mathematical Modeling of Genetic Assimilation (~BND 8,000), Faculty of Science Research Grant, Universiti Brunei Darussalam. Role: Co-Principal Investigator
2021 — 2023	Examining spillover effects in regional trading blocs (~BND 17,000), School of Business and Economics Research Grant, Universiti Brunei Darussalam. Role: Member

Research output

Articles (peer-reviewed)

year	number	citation
2026	A19	Bias-Reduced Estimation of Structural Equation Models H. Jamil, Y. Rosseel, O. Kemp, I. Kosmidis Structural Equation Modeling: A Multidisciplinary Journal, 33(3), 376–392. https://doi.org/10.1080/10705511.2025.2610462
2025	A18	Conditionally Autoregressive Models for House Price Data: Insights from a Comparative Simulation Study I. Puteri Kinasih, H. Jamil, E. Leong Journal of Statistical Theory and Applications. https://doi.org/10.1007/s44199-025-00122-1
	A17	Leveraging sparse Gaussian processes for property price modelling and sustainable urban planning H. Jamil, F. Usop, H. M. Ramli In: S. A. Abdul Karim & A. Baharum (Eds.), Intelligent Systems of Computing and Informatics in Sustainable Urban Development. Taylor and Francis/CRC Press. https://doi.org/10.1201/9781003518396-2
	A16	A spatio-temporal analysis of house prices in Brunei Darussalam H. Jamil Quality & Quantity. https://doi.org/10.1007/s11135-025-02164-0
	A15	From archives to AI: Residential property data across three decades in Brunei Darussalam H. Jamil, A. Barizah Noorosmawie, H. Waezz Rabu, L. Abdul Razak Data in Brief, 60, 111505. https://doi.org/10.1016/j.dib.2025.111505
2024	A14	An Exploratory Investigation on Foreign Language Anxiety among English for Islamic Studies Learners in Brunei Darussalam N. Noorashid, H. Jamil Electronic Journal of Foreign Language Teaching, 21(2) 211-234. https://doi.org/10.56040/nnhj2123
	A13	Pairwise likelihood estimation and limited-information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling H. Jamil, I. Moustaki, C. Skinner British Journal of Mathematical and Statistical Psychology, 78(1), 258–285. https://doi.org/10.1111/bmsp.12358
	A12	An Optimization Problem for Computing Predictive Potential of General Sum/Product-Connectivity Topological Indices of Physicochemical Properties of Benzenoid Hydrocarbons S. Hayat, A. Arfan, A. Khan, H. Jamil, M. J. F. Alenazi. Axioms 13(6). https://doi.org/10.3390/axioms13060342
2023	A11	Importance of Baseline Assessments: Monitoring of Sungai Brunei River’s Water Quality O. Onifade, N. Shamsuddin, H. Jamil, D. T. C. Lai, S. Gӧdeke H2Open Journal, 6(4) 518–534. https://doi.org/10.2166/h2oj.2023.168
	A10	Extremal hyper-Zagreb index of trees of given segments with applications to regression modeling in QSPR studies S. Hayat, M. Adil Khan, A. Khan, H. Jamil, M. Yasir Hayat Malik Alexandria Engineering Journal, 80(1) pp.259–268
	A09	Statistical significance of valency-based topological descriptors for correlating thermodynamic properties of benzenoid hydrocarbons with applications S. Hayat, N. Suhaili, H. Jamil Computational and Theoretical Chemistry, 114259. https://doi.org/10.1016/j.comptc.2023.114259
	A08	The domination number of the king’s graph M. Arshad, S. Hayat, H. Jamil Computational and Applied Mathematics, 42(251). https://doi.org/10.1007/s40314-023-02386-8
2022	A07	Factors Affecting Readmission to a Drug Rehabilitation Centre F. Jali, E. Leong, H. Jamil Journal of Population and Social Studies, 30, 591-601.
	A06	Iron and Manganese Mobilisation due to Dam Height Increase for a Tropical Reservoir in South East Asia S. Gӧdeke, H. Jamil, M. Schirmer, A. Bretzler, N. Shamsuddin, N. H. Mansor Environmental Monitoring and Assessment, 194(5), 358.
	A05	Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random M. Katsikatsou, I. Moustaki, H. Jamil British Journal of Mathematical and Statistical Psychology, 75(2) 23-45. Wiley Top Downloaded Article 2021
2021	A04	Advocating Blended Learning for University Undergraduate Level Mathematical Instruction Beyond Covid-19 H. Jamil, H. M. Ramli, E. Leong In: Engineering and Sciences Teaching and Learning Activities: New Systems Throughout COVID-19 Pandemics, pp. 33-45. Ed. by Samsul Ariffin Abdul Karim and Saiful Azmi Hussain. Studies in Systems, Decision and Control, vol 381. Cham: Springer. ISBN: 978-3-030-79613-6.
	A03	Latent Class Analysis: Insights about design and analysis of schistosomiasis diagnostic studies A. Koukounari, H. Jamil, E. Erosheva, C. Shiff, I. Moustaki PLOS Neglected Tropical Diseases, 15(2), e0009042.
2020	A02	Bayesian Variable Selection for Linear Models Using I-Priors H. Jamil, W. Bergsma In: Theoretical, Modelling and Numerical Simulations Toward Industry 4.0, pp. 107–132. Ed. by Samsul Ariffin Abdul Karim. Studies in Systems, Decision and Control, vol 319. Singapore: Springer. ISBN: 978-981-15-8986-7.
2018	A01	Regression modelling using priors depending on Fisher information covariance kernels (I-priors) H. Jamil PhD Thesis. London School of Economics and Political Science. Arnold Zellner award, honourable mention (top 3)

Working papers (preprints and unpublished reports)

year	number	citation
2026	W13	Deterministic Leave-One-Cluster-Out Cross-Validation for Multilevel Bayesian Structural Equation Models M. Alhyari, H. Jamil, H. Montcho, H. Rue arXiv:2609.00670 [stat.ME]
	W12	Informative Distance-Based Priors for Correlation Matrices Centred on a Target Reference A. Freni-Sterrantino, J. van Niekerk, E. Teixeira Krainski, D. Rustand, H. Jamil, H. Rue arXiv:2607.18926 [stat.ME]
	W11	Implementation and Workflows for INLA-based Approximate Bayesian Structural Equation Modelling H. Jamil, H. Rue arXiv:2604.00671 [stat.CO]
	W10	Approximate Bayesian Inference for Structural Equation Models Using Integrated Nested Laplace Approximations H. Jamil, H. Rue arXiv:2603.25690 [stat.ME]
2025	W09	A Bayesian factor analytic approach for handling missing data in spatial regressions models I. Puteri Kinasih, H. Jamil, E. Leong 10.13140/RG.2.2.30776.61448
2023	W08	Additive interaction modelling using I-priors W. Bergsma, H. Jamil arXiv:2007.15766 [math.ST]
	W07	Patterns of metabolic thermal independence in marine gastropods: A meta-analytical assessment M. Akram Ullah, D. Marshall, H. Jamil Manuscript in preparation
2021	W06	I think I understand: Investigating misconceptions regarding hypothesis test concepts among university students A. Zaini, H. Jamil, E. Leong EdArXiv. https://doi.org/10.35542/osf.io/dj6x9
2020	W05	Regression modelling with I-priors: With applications to functional, multilevel and longitudinal data W. Bergsma, H. Jamil arXiv:2007.15766 [math, stat].
	W04	Investigating the effect of load carriage on soldiers’ performances using Bayesian structural equation models H. Jamil, A. Salleh, L. Thieng Chan
2019	W03	iprior: An R Package for Regression Modelling using I-priors H. Jamil, W. Bergsma arXiv:1912.01376 [stat].
2017	W02	Discussion contribution W. Bergsma, H. Jamil TI Cannings, RJ Samworth (2017). Random-projection ensemble classification. JRSSB, 79.4, pp. 959-1035.
2010	W01	Analysis of paired comparison data using Bradley-Terry models with applications to football data H. Jamil Masters Thesis. University of Warwick.

Software

year	number	citation
2026	S5	R/INLAvaan: Approximate Bayesian Latent Variable Analysis H. Jamil
2024	S4	R/bruneimap: Maps and Spatial Data of Brunei H. Jamil
2023	S3	R/lavaan: Latent Variable Analysis Y. Rosseel, T. D. Jorgensen, L. De Wilde, D. Oberski, J. Byrnes, L. Vanbrabant, V. Savalei, E. Merkle, M. Hallquist, M. Rhemtulla, M. Katsikatsou, M. Barendse, N. Rockwood, F. Scharf, H. Du, H. Jamil, F. Classe Role: Contributor. General maintenance, including but not limited to pairwise likelihood and bias-reduced estimation.
2021	S2	R/iprior: Regression Modelling using I-priors H. Jamil
2020	S1	stat-tables: Open-source statistical tables for use in examinations, tests, and assignments H. Jamil

Talks

Further information regarding the following events are available at haziqj.ml/talk

year	number	what
2026	T37	Centre for Educational Measurement (CEMO), University of Oslo, Norway Approximate Bayesian inference for Structural Equation Models (SEM): The INLA approach
	T36	Graduate Statistics Seminar, KAUST, Kingdom of Saudi Arabia Approximate Bayesian inference for Structural Equation Models (SEM): The INLA approach
	T35	International Meeting of the Psychometric Society (IMPS), Yonsei University, Seoul, South Korea Approximate Bayesian inference for Structural Equation Models (SEM): The INLA approach
	T34	Guest lecture for Calculus I (MAT183), Universiti Teknologi Mara (UiTM) Sarawak Branch Calculus: Differentiation and its Applications (A statistical perspective)
	T33	School of Public Health Seminar, Fudan University, Shanghai, China Approximate Bayesian inference for Structural Equation Models: The INLA approach
	T32	International Guest Lecture (online), Universitas Islam Negeri (UIN) Mataram, Indonesia, Mathematics Education Programme An Introduction to Item Response Theory (IRT) Models
	T31	Psychoco 2026, Università di Padova, Italy Approximate Bayesian inference for Structural Equation Models (SEM): The INLA approach
	T30	Social Statistics Seminar, LSE, London, UK Approximate Bayesian inference for Structural Equation Models (SEM): The INLA approach
2025	T29	Graduate Statistics Seminar, KAUST, Kingdom of Saudi Arabia Bias-reduced estimation of structural equation models
	T28	Guest lecture for Calculus I (MAT183), Universiti Teknologi Mara (UiTM) Sarawak Branch Calculus: Differentiation and its Applications (A statistical perspective)
	T27	Seminar talk on R programming, Authority for Info-communications Technology Industry (AITI) R for Data Science
2024	T26	KAUST STAT Workshop 2024, KAUST, Kingdom of Saudi Arabia Leveraging INLA for estimating Bayesian latent variable models
	T25	Department of Statistics and Data Science Seminar, NUS, Singapore Weighted pairwise likelihood goodness-of-fit tests for binary factor models
	T24	Mathematical Science Departmental Seminar, UBD, Brunei Item Response Theory (IRT) models: Reducing bias in small samples
	T23	International Meeting of the Psychometric Society (IMPS), Prague University of Economics and Business, Czech Republic Empirical bias-reducing adjustments for Item Response Theory (IRT) models
	T22	Adolphe Quetelet Seminar Series, Ghent University, Belgium Weighted pairwise likelihood and limited information goodness-of-fit tests for binary factor models
	T21	Brunei R User Group Meetup, UBD Startup Centre Analysing spatial data using R
2023	T20	Social Statistics Seminar, LSE, London, UK Spatio-temporal modelling of property prices in Brunei Darussalam
	T19	Mathematical Science Departmental Seminar, UBD, Brunei Pairwise likelihood goodness of fit tests for binary factor models
	T18	International Meeting of the Psychometric Society (IMPS), University of Maryland, USA Pairwise likelihood goodness of fit tests for binary factor models
2022	T17	Teaching and Learning Centre Workshop, UBD, Brunei Quality Typography in Teaching Material: An interactive introduction to LaTeX
	T16	Department of Statistics and Data Science Seminar, NUS, Singapore Regression modelling using I-priors
	T15	International Meeting of the Psychometric Society (IMPS), University of Bologna, Italy Selecting interaction effects in additive models using I-priors
2021	T14	MINDEF Scholars Sharing Session, Online Life After MINDEF
2020	T13	IADA Seminar, UBD, Brunei A latent variable model for maximal performance testing with dropouts for military applications
	T12	Social Statistics Group Meetings, LSE, London, UK Investigating the effect of load carriage on soldiers’ performances using structural equation models
2019	T11	UBDSBE Seminar Invitation, UBD, Brunei Bayesian Variable Selection for Linear Models
	T10	CSTRAD Sharing Session, Ministry of Defence, Brunei Misconceptions in Demography
2018	T09	FOS Research Seminar, UBD, Brunei A Brief Guide to Variational Inference
	T08	Inaugural Workshop on Data Science Theory and Practice, LSE, London, UK Binary and Multinomial Regression using Fisher Information Covariance Kernels (I-priors)
	T07	Social Statistics Group Meetings, LSE, London, UK A Beginner’s Guide to Variational Inference
2017	T06	Turing Data Study Group, The Alan Turing Institute, London, UK Can data science help identify potential drivers of extremism?
	T05	International Meeting of the Psychometric Society (IMPS), University of Zürich, Switzerland Regression Modelling with I-Priors
	T04	Department of Statistics PhD Presentation Event, LSE, London, UK Binary probit regression with I-priors
2016	T03	Social Statistics Group Meetings, LSE, London, UK I-priors in Bayesian Variable Selection: From Reproducing Kernel Hilbert Spaces to Hamiltonian Monte Carlo
2015	T02	Postgraduate Research Seminar, LSE, London, UK Two-stage Bayesian variable selection for linear models using I-priors
	T01	Department of Statistics PhD Presentation Event, LSE, London, UK Regression Modelling using I-priors

Skills

Programming, data analysis and visualisation using R, BUGS/JAGS, Stan, Stata, Mplus, and Mathematica

Reproducible research using Quarto, R Markdown, LaTeX, Git and AWS EC2

Web development using HTML, CSS, Hugo, GitHub Pages and Netlify

Made with the R package pagedown. The source code is available from github.com/haziqj/cv. Document last rendered on 2026-10-28 15:20:35.900848 [UTC].