Adeniyi Fagbamigbe

Senior Lecturer University of Ibadan
Nigeria Cohort 2

Profile AI

I hold a Doctorate degree in Medical Statistics, in addition to a Master’s degree in Medical Statistics, Project Development and Implementation, and a First Class Honours degree in Statistics. I have a keen interest in the application of Statistics and Demography in human health. I have taught and mentored several undergraduate and postgraduate students, and I have conducted research and surveys centered on disease modelling and applications of biostatistics, survival analysis, time series analysis, project development, monitoring and evaluation, curriculum development, as well as data analysis, interpretation and reporting. I am proficient in the use of most statistical software packages, such as R, Stata, SPSS, Epi Info, MS Excel, etc. I have published research and academic papers. I have published over 40 peer‑reviewed papers that utilized advanced statistical techniques and methodologies in peer‑reviewed journals, with another set currently under review. While undertaking research, I have received formal and comprehensive training as both co‑investigator and principal investigator and have attracted grants. I have secured three grants totaling over $60,000. My career goal is to strive to be among the top 100 in my field—this has always been my aspiration. To materialize this aspiration, I have dedicated all my enthusiasm and energy to my academic endeavours—both my studies, teaching, and research—over the past ten years. While remaining locally relevant, I wish to be globally recognized in Biostatistics and Medical Statistics with a special interest in survival analysis and statistical modelling of diseases and inferences. I have also widened my research into epidemiology, demography, categorical data analysis, experimental design, advanced likelihood techniques, and the general application of statistics in solving population, clinical and public health problems. I intend to continue building my career in teaching and research, focusing largely on developing statistical techniques and models that will provide solutions to lingering clinical and public health problems. Mentoring and guiding my research students at both graduate and undergraduate levels will continue to be an integral part of my research career. My teaching has been mostly at the postgraduate level in the last ten years, centering on equipping MSc Statistics, MSc Medical Statistics, and MPH students with the required statistical skills to achieve their academic and career goals. Courses taught include Probability and Applied Probability, Statistical Modelling, Statistical Inferences, Clinical Trials, Survival Analysis, Categorical Data Analysis, Design and Analysis of Experiments, Non‑parametric Statistics, Research Methodologies, Medical Statistics, and Biostatistics.

Program Impact AI

The author maintained a consistently high level of productivity during the program, with output comparable to their pre-enrollment period despite typical publication lags. The substantial expansion in publications after graduation suggests the program may have helped position them for significantly increased research activity in subsequent years.

Latest publications

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