Eugene Acheampong Owusu

Epidemiology and health data science researcher with advanced training in applied biostatistics, field epidemiology, and population health research, with experience analysing national routinely collected and linked healthcare datasets. My research interests centre on cancer epidemiology, linked health data, survival and outcomes analysis, health inequalities, and quantitative methods for population health research. I have applied Poisson regression, Kaplan-Meier estimation, Cox proportional hazards models, competing risks methods, and reproducible R workflows to investigate disease incidence, mortality, prognostic factors, and population-level inequalities.

MSc Dissertation Researcher, Health Data Science - University of Liverpool - United Kingdom

(2024-01 - 2025-12)

• Conducted an epidemiological study of mature T-cell leukaemia in England using linked national cancer registry data.
• Estimated crude, age-specific, and age-standardised incidence rates using population denominator data.
• Applied Poisson regression, Kaplan-Meier estimation, Cox proportional hazards models, and competing risks methods to examine incidence, mortality, survival outcomes, and prognostic factors.
• Assessed demographic and socioeconomic inequalities in disease burden and survival outcomes
• Developed reproducible analytical workflows in R for data cleaning, validation, modelling, and reporting.

Research Assistant and Analyst - Dodowa Health Research Centre - Ghana

(2022-05 - 2023-05)

• Contributed to population-level studies examining stillbirth, maternal mortality, neonatal mortality, and their determinants using routinely collected health system data and population denominators
• Supported analysis of maternal and neonatal health outcomes to inform public health and health service decision-making
• Contributed to study design, outcome definition, literature reviews, data validation, analytical planning and epidemiological analysis for maternal, neonatal, and public health research studies
• Participated in research examining implementation and effectiveness of maternal and child health interventions
• Cleaned, validated, and quality-checked multi-district health datasets used in applied research
• Supported statistical planning and analytical design for clinical and public health research studies

MPhil Research Student - Kwame Nkrumah University of Science and Technology - Ghana

(2021-09 - 2023-07)

• Conducted an independent mixed-methods epidemiological study examining determinants of tuberculosis-related stigma and access to tuberculosis services in Ghana.
• Designed study instruments and supported primary data collection for population health and infectious disease research
• Applied multivariable regression modelling to investigate associations between socioeconomic, behavioural, and healthcare-related factors and access to health service utilisation.
• Contributed to the design, implementation, and analysis of a mixed-methods study evaluating subsidised antihypertensive and antidiabetic medication and health-seeking behaviour.
• Supported qualitative interviews, transcription, thematic coding, and integration of quantitative and qualitative findings

Data Analyst - Volta Regional Health Directorate - Ghana

(2019-09 - 2020-10)

• Analysed routine surveillance and service data to support regional disease monitoring, planning, and health management decision-making.
• Cleaned, validated, and quality-checked facility-level DHIMS2 datasets used in routine reporting and surveillance
• Supported malaria programme data quality assurance, including validation of suspected, tested, and treated malaria indicators across districts and facilities.
• Contributed to a mixed-methods evaluation of sulphadoxine-pyrimethamine for malaria prevention in pregnancy
• Produced descriptive summaries and analytical briefs to inform regional public health action during the COVID-19 period

MSc - Health Data Science - University of Liverpool (2024-01 - 2025-12)

MPhil - Field Epidemiology and Applied Biostatistics - Kwame Nkrumah University of Science and Technology (2021-09 - 2023-07)

BSc - Public Health - University of Health and Allied Sciences (2015-01 - 2019-12)