Public health · Health economics · Quantitative research
Master of Public Health, with clinical training and a practice of making evidence traceable. My research sits in applied health economics, evidence synthesis, and quantitative public health.
Why a research doctorate
Clinical training taught me to look carefully at one person. The Master of Public Health changed the unit of analysis. The dissertation was a full systematic review and meta-analysis of kangaroo mother care and weight gain in low-birthweight neonates: a search across five databases, screening, data extraction, risk-of-bias assessment, and a random-effects synthesis. Every inclusion decision had to be written down.
Work in healthcare governance trained a complementary habit. Version control, audit trails, and data-quality checks are not a substitute for research. They are how a quantitative result stays defensible when someone else has to use it.
The projects on this site are how I have been practising the methods I want to take into a European doctorate: cost-effectiveness and budget impact, environmental epidemiology, and transmission models. Several of them use synthetic data on purpose. They show the workflow, the assumptions, and the limits. They are not estimates for a real service, and the health-economics results are not findings from a funded study.
I want to contribute to applied health economics and health services research, where a decision has to carry its uncertainty with it.
Research projects
Each card leads to a full account. Synthetic results are labelled as synthetic. The tobacco paper is still in preparation.
Health economics · Python · 2026
Cost-effectiveness, budget impact, a descriptive equity split, and deterministic sensitivity analysis on a synthetic cohort of 1,000.
Dissertation · 2023–2024
PRISMA 2020 systematic review and meta-analysis. Eleven studies. Random-effects models in RevMan 5.4.
Environmental epidemiology · R · 2026
Synthetic UAE cohort of 10,000 pregnancies. Temperature, PM2.5, trimester windows, and birthweight.
Computational epidemiology · Python · 2026
Deterministic SIR and SEIR models, intervention scenarios, and a 1,000-run Monte Carlo.
Simulation · Python · 2026
Whether health-system capacity modifies the heat–mortality association across demographic groups. Synthetic, not Belgium.
Policy research · 2026–2027
Comparative analysis of policy, implementation, governance, and health inequalities. Manuscript in preparation.
Exploratory pilot · SPSS · 2026
A fictional governance scenario scored on four dimensions. The pilot hit a ceiling and makes no effectiveness claim.
Professional credits
These roles are the record of how I learned to handle evidence, confidentiality, and quantitative reporting. They are credits for the research, not a job list.
ABL Health Ltd, Manchester. Led 40+ structured governance reviews, projects, and control assessments. Applied an audit cycle of collection, validation, analysis, and reporting. Analysed 20+ KPIs and risk indicators in Power BI for executive decisions.
Civic Reach CIC, Leeds. Maintained document version control for audit readiness, handled confidential information, delivered data-handling training, and produced 30+ reports that turned governance material into a decision-ready account.
Health Vista Analytics Ltd, Bristol. Data validation and quality checks, with a reported 25% reduction in inconsistent records. Standardised documentation, with a reported 55% reduction in administrative effort. Advised 10+ clinical and operational teams on data handling and regulatory compliance.
Department of Health and Welfare, India. Supported a reported 30% improvement in reporting accuracy through validation and quality assurance, and coordinated reporting requirements with government health departments.
Save the Children, India. Maintained documentation controls with a reported 98% traceability of critical programme documentation, and coordinated stakeholder reporting through structured governance forums.
Indian Council of Medical Research. Managed workforce and field-staff information for public-health surveillance programmes, with attention to confidentiality.
Trupti Nursing Home, India. Managed workforce and field-staff data for public-health surveillance activities while maintaining confidentiality.
Methods and tools
Education
Northumbria University, United Kingdom. Dissertation: kangaroo mother care and weight gain in low-birthweight neonates, a systematic review and meta-analysis of 15,000 words.
Rajiv Gandhi University of Health Sciences, India. Thesis: Sturge Weber Syndrome, an empirical research study.
Languages
German B1, with a B2 course in progress. Arabic, beginner.
Training, kept in the background. BCS Practitioner Certificate in Data Protection v9.7 (2026). IAPP Information Privacy Certification. DAMA CDMP Practitioner. ISO/IEC 27001 and ISO/IEC 42001 (Alison). ISO 45001:2018 (Great Learning). ISO 14001 (Amtivo Group). ISO/IEC 17025. IOSH Health and Safety (2025). IBM Data Analysis with Python (2025). IBM Databases and SQL for Data Science with Python. Microsoft Power BI (2025). PRINCE2, Scrum Master, Agile and Lean. NIST training.
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