Dr. Andrew Nifarta Peingurta is a Program Manager (Research) at the International Research Centre of Excellence of the Institute of Human Virology Nigeria (IRCE–IHVN) with over 12 years of experience in monitoring and evaluation, data management and analysis. She contributes to high-impact research and data-driven public health solutions. Her research focuses on the application of statistical methods for the analysis of public health outcomes and their social determinants.                                            

She holds a PhD in educational policy from university of Korinthos, Greece, MSc and BSc in Statistics from the universities of Ibadan and Maiduguri respectively. Recently, she completed a Swiss TPH certificate course in Epidemiology from the European Education Programme in Epidemiology (EEPE) in Florence, Italy and MPH degree in Public Health from Texila American University. She is a WHO TDR fellow, trained on clinical data management and statistical modelling at the Luxembourg Institute of Health, Luxembourg. She is passionate about mentoring in clinical data management, monitoring and evaluation, statistical analysis and scientific writing. In addition, Nifarta has a proven track record in scientific writing, including report development and manuscript preparation. See her full publications list here https://www.researchgate.net/profile/Nifarta-Andrew/research

Gregrey Oko-Oboh is a medical doctor and cancer epidemiologist with a strong background in quantitative research, population health and applied data analysis. He is a scientific researcher in cancer epidemiology at the Tampere University, Finland, where his work focuses on data quality, early detection, screening and cancer outcomes, with a particular interest in health inequalities in low resource settings.

He has extensive teaching and training experience in epidemiology, biostatistics and research methods, and has led data capacity building programmes for health professionals and researchers. He provides consultancy services to the International Research Centre of Excellence – Institute of Human Virology Nigeria, supporting research design, data management and statistical analysis for multi centre cancer studies.

As a trainer in this programme, he aims to equip participants with practical skills in data handling, statistical thinking and evidence based decision making, using real world health datasets and reproducible analytical workflows.

Oyewole Oyedele is a trained Biostatistician and technical lead (public health informatics) at IRCE-IHVN. With over 10 years’ experience in the field, he attained master’s degrees in Biostatistics and Statistics, with expertise in the use of data management and analytic tools such as R, Python, Stata for advanced epidemiological, statistical and machine learning models for data-driven decision. He has implemented series of public/global health programs including workforce development in epidemiological data analysis and public health informatics for Government of Nigeria teams.

Ruxton Adebiyi is a data manager, analyst, and implementation scientist who has spent over ten years supporting stronger health systems and research programs in Nigeria. He enjoys helping teams turn complex clinical data into clear insights that improve planning, quality, and real-world outcomes. Ruxton has worked on several major NIH-supported studies and national projects, leading data management, validation, and analytics efforts. He brings hands-on experience with EDC platforms, automation tools, clinical data standards, and a range of statistical programming languages. With more than ten peer-reviewed publications, he continues to contribute to public-health evidence and practice. He is passionate about training, mentorship, and building the next generation of data-driven public-health professionals.

Kazeem Olalekan Ayodeji is a Data Analyst at the International Research Centre of Excellence of the Institute of Human Virology Nigeria (IRCE–IHVN). With over 10 years’ experience in data analysis, he contributes to high-impact research and data-driven public health solutions. He has expertise in mathematical modelling of infectious diseases, and extensive experience in quantitative and qualitative data analysis using several tools including STATA, R, SPSS, JAMOVI, EPI INFO, Dedoose, NVivo, and Atlas.ti. He also has strong data management capabilities across platforms such as ODK/SurveyCTO, KoboCollect, REDCap, SORMAS, Tableau, Google Sheets, and the full suite of Microsoft Office tools. In addition, Kazeem has a proven track record in scientific writing, including report development and manuscript preparation. See his full publications list here https://www.researchgate.net/scientific-contributions/Kazeem-Olalekan-Ayodeji-2277867170 Google scholar: https://scholar.google.com/citations?user=tXdNWEIAAAAJ&hl=en . He is currently completing a PhD in Population and Reproductive Health, building on a solid academic foundation that includes an MSc in Demography and Social Statistics.

Edward Aondoakura Kombu is a Senior Data Analyst & Health System developer with vast knowledge in public health database development, data management, analysis, visualization and machine learning model algorithms. He is proficient in pulling data from different databases using Power BI.  In the past, he had effectively overseen public health data collection, validation, storage, and analyze processes to ensure data accuracy, integrity, and security for different NGOs for the past ten (10) years. He also implemented best practices for data governance and data sharing across different stakeholders including US CDC. He had pulled a complex dataset from federal ministry of health DHIS2 platform (FMOH) and developed a stillbirth Power BI dashboard which is published on the Ministry’s website.

He is a tutor of Python, R, SPSS, MATLAB, Power BI, DHIS2 and advanced Statistical analysis.