Researcher biography

Dr Adenike Soogun is a Senior Research Assistant (Statistician) for the RELEASE project. 

Nike recently joined the General Practice Clinical Trial unit, bringing her Nigerian heritage and South African knowledge to the table. She holds a PhD in Statistics from the University of KwaZulu-Natal (UKZN) as well as an MBA (General) from Management College of Southern Africa (MANCOSA), both in Durban, South Africa.

Nike is an experienced biostatistician with expertise in advanced statistical modelling, Bayesian, spatial and spatio-temporal modelling, survival analysis, machine learning, predictive and joint modelling. She has extensive experience working with multiple projects, epidemiologists, clinicians, public health practitioners, scientists, researchers and postgraduate students across multidisciplinary areas. She is highly experienced in data management, meta-analysis, and analysing complex datasets, including longitudinal, clinical trials, cross-sectional, observational, and cohort studies. She has proficiency in using R, SAS, STATA, and SPSS software.   

Before relocating to Australia in 2021, Nike held positions within Epidemiology and Prevention team, at Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal (UKZN), Durban, South Africa as a Research Fellow (Statistician) and brings advanced statistical methodologies on real life data in an HIV hyperendemic area of South Africa towards achieving the goal of ending the epidemic by the year 2030.  Before that, she was a sessional academic lecturer and researcher at UKZN, in the Schools of Statistics, Management, and Public Health, as well as the Management College of Southern Africa in Durban, South Africa.

With over 15 years of experience in research and teaching, Nike is passionate about applying traditional and advanced statistical methodologies in medical research and enjoys collaborating with others in the field.  Nike is also an Adjunct Research Fellow at the Biostatistics unit, Griffith University.