About
A brief description of who you are and what you do.
This section will only display on your public profile if you’ve added content.
You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.
Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.
You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.
Research
Research interests
- Quantitative Research Methods and Health Survey Data Analysis
- Multilevel Modelling and Longitudinal Analysis of Health Outcomes
- Application of Statistical and Machine Learning Methods in Healthcare and Social Science Research
- Geospatial Data Modelling; Statistical Inference with Geo-masked Data: Preserving Respondent Confidentiality
- Statistical Consultation and Collaboration in Interdisciplinary Research
Current research
In Jamal's current research, he is engaged in several projects funded by the National Institute for Health Research (NIHR) and Innovate UK. Notably, he is a co-applicant in the successful NIHR-funded project titled "IneQUIty in end of life care for children: Investigating experiences and families’ Needs after sudden and unexpecTEd deaTh in children and young people – the QUINTET study." His role includes statistical support and aiding analysis, particularly in Work Package 3 (WP3). Additionally, he is a co-applicant on several projects currently under review by NIHR, including a feasibility study on integrating the Living with Long Term Conditions scale into routine care for under-served groups with type 2 diabetes, and initiatives focusing on predicting nurse staffing requirements and stroke prevention.
Furthermore, Jamal contributes as a statistician to various projects, participating in statistical analysis, interpretation, and paper writing. Some noteworthy involvements include uncovering trajectory groups and quality of life predictors in breast, non-Hodgkin’s lymphoma, and gynaecological cancers, developing modules to assess Health-Related Quality of Life in adolescents and young adults with cancer, and investigating the impact of different treatments on health-related quality of life in prostate cancer patients. These research endeavors collectively aim to enhance understanding and care across diverse health conditions and demographics.
His dedication to advancing statistical methodologies and applying them to pressing healthcare issues underscores his commitment to improving patient outcomes and advancing healthcare practices in the UK and beyond.
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Research groups
Any research groups you belong to will automatically appear on your profile. Speak to your line manager if these are incorrect. Please do not raise a ticket in Ask HR.
Research interests
Add up to 5 research interests. The first 3 will appear in your staff profile next to your name. The full list will appear on your research page. Keep these brief and focus on the keywords people may use when searching for your work. Use a different line for each one.
In Pure (opens in a new tab), select ‘Edit profile’. Under the heading 'Curriculum and research description', select 'Add profile information'. In the dropdown menu, select 'Research interests: use separate lines'.
Current research
Update this in Pure (opens in a new tab). Select ‘Edit profile’ and then ‘Curriculum and research description - Current research’.
Describe your current research in 100 to 200 words. Write in the third person. Include broad key terms to help people discover your work, for example, “sustainability” or “fashion textiles”.
Research projects
Research Council funded projects will automatically appear here. The active project name is taken from the finance system.
Publications
Public outputs that list you as an author will appear here, once they’re validated by the ePrints Team. If you’re missing any outputs that you’ve added to Pure, they may be waiting for validation.
Supervision
A list of your current and past PhD students.
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Contact your Faculty Operating Service team to update PhD students you supervise and any you’ve previously supervised. Making this information available will help potential PhD applicants to find you.
Teaching
- Quantitative Research Methods
- Applied Regression Analysis
- Generalised Linear Models
- Analysis of Multilevel & Longitudinal Data
You can update your teaching description in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’ , select ‘Add profile information’. In the dropdown menu, select – ‘Teaching Interests’. Describe your teaching interests and your current responsibilities. Aim for 200 words maximum.
Courses and modules
Contact the Curriculum and Quality Assurance (CQA) team for your faculty to update this section.
External roles and responsibilities
These are the public-facing activities you’d like people to know about.
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Biography
Jamal is a Lecturer in Applied Health Statistics at the School of Health Sciences, University of Southampton. He completed both his B.Sc. (Hons) and Masters in Statistics with distinction, acquiring a strong foundation in quantitative methods and health survey data analysis. Later, he pursued a PhD in Social Statistics & Demography at the University of Southampton, UK, funded by the prestigious Commonwealth Scholarship and Grants. His doctoral research focused on developing novel statistical estimation and inference methods for analysing Demographic and Health Survey spatial geo-masking data, preserving respondent confidentiality and data integrity.
With a passion for quantitative research methods and health survey spatial data analysis, Jamal is a confident user of the menu-driven (SPSS, Stata) and programme-based (e.g., R) statistical packages. He specializes in multilevel modelling and longitudinal data analysis, applying these techniques to advance medical and social science research. Jamal's proficiency in statistical and machine learning methods has led to the application of these techniques in healthcare and social science, contributing to improved data-driven decision-making processes.
Prior to his current position, Jamal served in various roles, including as a Post-Graduate Teaching Assistant (PGTA), Research Fellow, and Lecturer/Assistant Professor in Applied Statistics at universities in the UK and abroad. He has taught courses such as Quantitative Research Methods, Applied Regression Analysis, Generalised Linear Models, and Analysis of Multilevel & Longitudinal Data to both undergraduate and postgraduate students from diverse backgrounds.
With a focus on interdisciplinary research, Jamal continues to explore innovative approaches in statistical analysis, ensuring that his work contributes significantly to the fields of Applied Health Statistics and beyond.
You can update your biography section in Pure (opens in a new tab). Select your ‘Personal’ tab then ‘Edit profile’. Under the heading, and ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘Biography’. Aim for no more than 400 words.
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Prizes
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