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 Before joining the Sociology group at Ï㽶ÊÓƵ in 2021, I worked as a visiting lecturer in public health and research assistant on the UK Digital Participatory Health project at the University of Wolverhampton, UK.  I also worked as a Public Health Programme Officer on the UK response service to the COVID-19 pandemic at Walsall City Council, West Midlands, England.  Besides, I have worked outside the UK as a senior analyst and senior programme officer at an international public health NGO called “Clinton Health Access Initiative (CHAI)” in Nigeria on the National and state-level childhood diarrhoea and pneumonia programmes.

 As a Senior lecturer in public health at Ï㽶ÊÓƵ, I lead the Foundations of Epidemiology module (FOE A) and teach across other M.Sc. Public health modules, including applied epidemiology (FOE B) and dissertation modules. As an Inspirational Teaching University award winner, I make learning exciting for our students by bringing into teaching my experience from public health practice in developed and developing country settings, including advanced knowledge and skills in epidemiology, statistics and quantitative research. I also transform the lives of our students through well-planned implementation of academic advising and tutoring practice, including mentorship of colleagues and students on the Accomplish Study Programme in Ï㽶ÊÓƵ Excellence (ASPIRE).

 I am into research, and my expertise is in epidemiology and statistics, focusing on the determinants and health effects of body weight, dementia risk factors, and all-cause mortality in older adults. My broader research interests include cognitive health, mental health issues, cognitive frailty, dementia protective and risk factors, body weight (like underweight, overweight and obesity) and chronic diseases like cardiovascular diseases and cancers in younger and older adults. I am also interested in research on food insecurity and maternal and under-5 mortality.

I am versatile in using different statistical and related software for research, including SPSS, Stata, and R-statistical programming software. I am interested in quantitative research using longitudinal data (e.g., UK data service, UK biobank, CPRD data), other secondary data (e.g., Demographic and Health Survey data) and advanced statistical methods, including machine learning techniques, to detect or predict health risks and survival. I am also interested in Mixed-method research.