Eleojo is a health geographer adept at analysing, modelling, mapping, and explaining the spatiality of public health (and related phenomenon) at multiple spatial scales, using various statistical and geospatial methodologies and software tools. He is also versed and experienced in mixed methods and qualitative research approaches. His works seek to uncover the role of location, place and context in shaping observed patterns, outcomes, relationships or causal mechanisms.

In conjunction with geographies of public health(care), Eleojo is attentive to socio-spatial aspects of associated SDG themes such as socio-economic deprivation, inequality, urbanization and their interconnections with pertinent environmental markers. With an avid interest in policy- and solution-oriented studies, he is keen to use his research practice for academic advocacy and social activism with a view to giving voice to disadvantaged or marginalized population subgroups.

Eleojo is presently a Research Fellow on the project ‘Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Contexts (AIM-CISC)’, funded by the National Institute of Health Research (NIHR). Here, his role entails examining how multimorbidity clusters spatially using spatial analysis and machine learning methods. Before joining AIM-CISC, his previous roles include: Post-Doctoral Research Associate in Urban Studies at the University of Glasgow, and GIS Specialist at Cathie Group Limited.