Public Health · Population Research · Applied Analytics

Research that turns population evidence into clearer health decisions.

I am Ismaila Abioye Adeniran, a quantitative public health and population researcher working across health promotion, population studies, statistical analysis, and research communication.

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3interdisciplinary academic foundations
1peer-reviewed publication
2022–research & analytics experience

Public health thinking.

Population-level perspective.

Quantitative discipline.

Clear research communication.

Profile

At the intersection of public health, population science, and statistics.

My work is grounded in a simple idea: strong health decisions begin with evidence that is carefully collected, rigorously analysed, and communicated in a way people can use.

My training spans Health Promotion and Public Health, Demography and Social Statistics, and Statistics. Across academic, research, teaching, community, and applied analytical settings, I have worked with survey data, statistical modelling, research reporting, data visualisation, and public-health problem solving.

I am especially interested in epidemiology, health inequalities, maternal and child health, mental health, sexual and reproductive health, and broader population-health questions that benefit from quantitative inquiry.

EpidemiologyPopulation HealthHealth InequalitiesMaternal & Child HealthMental HealthSexual & Reproductive Health

Selected research

Evidence, methods, and questions with public-health relevance.

Selected work that demonstrates research design, statistical reasoning, interpretation, and publication potential.

Peer-reviewed publication 2024

Determinants of Birth Preparedness and Complication Readiness among Pregnant Women

Quantitative public-health research examining how sociodemographic factors relate to birth preparedness and complication readiness among pregnant women in Oye-Ekiti, Nigeria.

Survey designChi-squareBinary logistic regression
Published in: International Journal of Academic and Applied Research, 8(8), 61–83.
Quantitative foundations 2015–2017

Experimental Analysis of Feed Type and Weight Gain in Broiler Chickens

A three-treatment experiment using a completely randomised design to compare weekly weight changes and assess variation in treatment response.

Experimental designCoefficient of variationComparative analysis

Experience

Research experience that travels across disciplines.

From applied analysis to public-health practice, teaching, and community-facing work.

2022–Present

Research Assistant & Data Analyst

DataNation Integrated & Analytics Services

Support quantitative and qualitative research through data cleaning, exploratory analysis, statistical testing, interpretation, visualisation, reporting, and data-analytics training.

2026

Practice-Based Public Health Placement

Ulster University, Birmingham Campus

Worked with health-equity perspectives, local action, community engagement, programme planning, and strategic responses to complex public-health challenges.

2023–2024

Graduate Assistant

Emmanuel Alayande University of Education

Supported science and mathematics teaching, course planning, examinations, academic records, and departmental administration.

2019–2022

Academic Tutor, Demography & Social Statistics

Federal University Oye-Ekiti

Prepared learning materials, organised tutorials, and supported students in demographic and statistical concepts.

Methods & tools

Comfortable moving from raw data to defensible insight.

01

Statistical analysis

Descriptive statistics, survey analysis, chi-square tests, logistic regression, t-tests, correlation, ANOVA, Kaplan–Meier estimation, and log-rank testing.

02

Research workflow

Questionnaire-based research, data cleaning, exploratory analysis, interpretation, technical reporting, research support, and presentation of findings.

03

Software & visualisation

R, Stata, IBM SPSS, Minitab, Microsoft Excel, Power BI, and Microsoft Office tools for analysis, reporting, and communication.

04

Academic communication

Research writing, teaching support, tutorial facilitation, stakeholder communication, presentation, and translation of findings for different audiences.

Academic foundation

Interdisciplinary training for population and health research.

MSc · 2026

Health Promotion and Public Health

Ulster University, Birmingham Campus, United Kingdom

BSc · 2023

Demography and Social Statistics

Federal University Oye-Ekiti, Nigeria

Second Class Honours (Upper Division)
ND · 2017

Statistics

Federal Polytechnic Offa, Nigeria

Upper Credit

Where I can contribute

Built for more than one job title.

Public health research teams Population & demographic research Research assistantships Health data & analytical roles Graduate research programmes Evidence, evaluation & policy support

Contact

Interested in research, collaboration, or graduate opportunities?

I welcome conversations around public health, population research, quantitative analysis, research support, and advanced academic training.

Email Ismaila Download CV