Curriculum Vitae

DR. HANNUUN EADIELA BINTI YAACOB

Senior Lecturer
  • Department of Decision Science
    Faculty of Business and Economics
  • hannuun_yy
  • +60379673708

BIOGRAPHY

Dr. Hannuun Yaacob currently holds the position of a Senior Lecturer in the Department of Decision Science within the Faculty of Business and Economics at the University of Malaya. She earned her Ph.D. in Statistics from the University of Sheffield, UK. Her primary research interests encompass Bayesian statistics and biostatistics. In her previous research project, she focused on statistical genetics, where she developed a Bayesian statistical model to identify potential causal genes for breast cancer. Presently, her research revolves around preference-based measures and health-related quality of life, with a keen interest in the application of statistics in social science research. Dr. Hannuun's work effectively bridges the gap between statistical analysis and the human experience, significantly contributing to our understanding of preferences, aspirations, and the tools used for measurement. An enthusiastic user of the R software, she has also served as a guest speaker at the R conference in 2022 and continues to primarily employ R software in both her research and teaching endeavors. Beyond her academic pursuits, Dr. Hannuun finds solace in reading and traveling, embracing a balanced and holistic life. Her unwavering dedication to advancing social science research serves as an inspiration to emerging scholars in the field, leaving an indelible mark on the academic community.

AREAS OF EXPERTISE

  • BAYESIAN STATISTICS
    Prior specification, Laplace Prior
  • STATISTICAL GENETICS
    Fine-Mapping, GWAS
  • BIOSTATISTICS
  • EPIDEMIOLOGY

ACADEMIC QUALIFICATION

  • Doctor of Philosophy in Economy, (BIDANG EKONOMI)
    University of Sheffield, Sheffield, UK
  • Sarjana Biostatik, (APPLIED STATISTIC)
    Universiti Malaya (UM)

ADMINISTRATIVE DUTIES

  • GRADUATION EXERCISE COORDINATOR FOR BACHELOR OF ECONOMICS
    06 Jan 2023 - 05 Jan 2026 (Department of Decision Science, Faculty of Business and Economics)
  • Committee Members
    28 Sep 2022 - 27 Sep 2025 (Deputy Dean (Student Affairs) Office, Faculty of Business and Economics)
  • Task Force Member
    04 Jul 2022 - 03 Jul 2025 (Deputy Dean (Student Affairs) Office, Faculty of Business and Economics)
  • TASK FORCE MEMBER FOR POSTGRADUATE PSAR
    01 Jul 2023 - 30 Jun 2025 (Department of Decision Science, Faculty of Business and Economics)

MEMBERSHIPS

  • INSTITUT STATISTIK MALAYSIA (ISMY), MEMBER
    Since 2022 (National)

AWARD AND STEWARDSHIP

  • LATIFAH MERICAN CHEONG MEMORIAL MEDAL - BEST TEACHER AWARD 2021
    Malaysian Economic Association, 2024 (National)
  • KERTAS KERJA TERBAIK KATEGORI PEMBENTANGAN LISAN
    Lembaga Penduduk dan Pembangunan Keluarga Negara (LPPKN), 2022 (National)

PUBLICATIONS

Article in Journal
WoS
  1. Walters, Kevin; Yaacob, Hannuun (2023). Bayesian multivariant fine mapping using the Laplace prior, GENETIC EPIDEMIOLOGY. 47(3), 249-260. doi:10.1002/gepi.22517
  2. Walters, K; Cox, A; Yaacob, H (2021). The utility of the Laplace effect size prior distribution in Bayesian fine-mapping studies, GENETIC EPIDEMIOLOGY. 45(4), 386-401. doi:10.1002/gepi.22375
ESCI
  1. Rasheed, Zahirrah Begam Mohamed; Hong, Jesrine; Yaacob, Hannuun; Omar, Siti Zawiah (2024). Prevalence of Preterm Birth and Perinatal Outcomes in a Tertiary Hospital in Malaysia, CUREUS JOURNAL OF MEDICAL SCIENCE. 16(2). doi:10.7759/cureus.55284
Others
  1. Walters, K., Cox, A., & Yaacob, H. (2021). The utility of the Laplace effect size prior distribution in Bayesian fine-mapping studies. Genetic epidemiology, 10.1002/gepi.22375. Advance online publication. https://doi.org/10.1002/gepi.22375
  2. Walters, K., Cox, A., & Yaacob, H. (2019). Using GWAS top hits to inform priors in Bayesian fine-mapping association studies. Genetic epidemiology, 43(6), 675 689. https://doi.org/10.1002/gepi.22212
Article in Proceeding
  1. Yaacob, H., Walters, K. and Cox, A. (2019) Utilizing the information from GWAS data to inform priors in Bayesian fine-mapping association studies. In: Human Heredity. 47th European Mathematical Genetics Meeting (EMGM), 08-09 Apr 2019, Dublin, Ireland. Karger , p. 247.

RESEARCH PROJECT

National
  1. 2023 - 2025, Bantuan Khas Penyelidikan (BKP Special)
    Developing a Preference-Based Labour Utility Measure for Junior Medical Doctors: A Feasibility Study ( Co-Researcher)
  2. 2023 - 2025, Projek Penyelidikan USIM 2023
    MODELLING THE DENGUE INCIDENCE IN PENINSULAR MALAYSIA WITH HYDROMETEOROLOGICAL FACTORS USING BAYESIAN FRAMEWORK, Universiti Sains Islam Malaysia (USIM) ( Co-Researcher)
Private
  1. 2023 - 2024, Private Funding
    Food Security Resiliency: Building A Sustainable Food Security ? Land Use Framework ( Co-Researcher)
University
  1. 2024 - 2025, University Grant
    Optimizing Resource Allocation and Training Opportunities in RUKA: A Data-Driven Approach to Enhance Doctor Training and Patient Care ( Principal Investigator(PI))
  2. 2023 - 2024, University Grant
    Measuring Poverty in Kelantan: A Maqasid-based Multidimensional Poverty Approach ( Co-Researcher)
  3. 2023 - 2024, University Grant
    Graduate Employment And Labor Market Outcomes In Malaysia ( Co-Researcher)

PAPER PRESENTED

INVITED SPEAKER
  1. Univariate Bayesian Approach to Fine Mapping Genes, R ConfeRence 2022, Malaysia R User Group (MyRUG) (National) (26 Nov 2022 - 27 Nov 2022)
PRESENTER
  1. Utilizing the information from GWAS data to inform priors in Bayesian fine-mapping association studies, 47th European Mathematical Genetics Meeting (EMGM) (08 Apr 2019)

ACADEMIC/PROF. SERVICES

Evaluation
  1. (2023) Reviewer for Scientific Paper, National, (External Evaluator)
  2. (2023) Reviewer Research Paper, International, (External Evaluator)
  3. (2022) Ahli Jawatankuasa Penilai Bagi Kolokium Program Doktor Falsafah Siri 3/2022, University, (Reviewer)
  4. (2022) Review Paper Submitted to The National Symposium On Mathematical Sciences 29 (Sksm29), National, (Reviewer)
  5. (2022) Panel Penilai Bagi Pembentangan Seminar Proposal Defence Phd - Zhang Congmin (17222138/1), University, (Reviewer)
Contribution to external organisation
  1. (2023) Engagement With Academicians and Student Leaders from Higher Learning Institution, Indonesia and Malaysia, International, (Resource Person)
  2. (2023) Judge for Poster Presentation for 2nd Terengganu Public Health Research Day 2023, National, (Resource Person)
  3. (2022) Penggubal Soalan dan Skema Jawapan Serta Pemeriksa Kertas Jawapan Bagi Peperiksaan Khas Untuk Memasuki Skim Perkhidmatan Perangkawan Gred E41 dan Penolong Pegawai Perangkaan Gred E29 Bagi Tahun 2022- Wakil Universiti, National, (Technical Advisor)
  4. (2021) Experts for Updating Process of The Malaysian Research and Development Classification System (Mrdcs) 7th Edition (January - August 2021), National, (Expert Advisor)
Contribution to event
  1. (2023) Guest Speaker in The Topic of Quantitative Analysis, University, (Panelist/Moderator)
  2. (2023) Participation of The Conference, National, (Participant)
  3. (2023) Participate in Forum: Reviving The Malaysian Economy ., National, (Participant)
  4. (2023) Participate in Forum: Hari Penduduk Sedunia 2023, National, (Participant)

SUPERVISION

Postgraduate Student
  1. (2024) THE IMPACT OF ORIGIN FAMILY AND DEVELOPMENTAL EXPERIENCES ON THE PSYCHOLOGICAL HEALTH OF YOUTH AND MIDDLE-AGED ADULTS, ZHANG YIZHOU
  2. (2024) HUMAN POPULATION PROJECTIONS FOR MALAYSIA, ASMIDA BINTI MUSTAFA
  3. (2024) DEVELOPING A PREFERENCE-BASED LABOUR UTILITY MEASURE ON JOB SATISFACTION OF JUNIOR MEDICAL DOCTORS IN MALAYSIA, MAISARAH BINTI ATAN

TEACHING

Master
  1. (2024) AA037017 - Bayesian Statistics
  2. (2024) AA037009 - Biostatistics
  3. (2023) AA037017 - Bayesian Statistics
  4. (2023) AA037009 - Biostatistics
  5. (2022) EQC7009 - Biostatistics
  6. (2021) EQC7004 - Statistical Data Analysis
Bachelor
  1. (2024) EIA1012 - Mathematics
  2. (2023) EIA2011 - Introduction to Computerassisted Data Analysis
  3. (2023) EIA1012 - Mathematics
  4. (2022) EIA2011 - Introduction to Computerassisted Data Analysis
  5. (2022) EIA1006 - Statistics Ii
  6. (2021) EIA1007 - Elementary Mathematics
  7. (2021) GIG1005 - Social Engagement
  8. (2021) EIA1005 - Statistics I
  9. (2020) EIA1005 - Statistics I