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Dr. Kayode Olakunle is a Statistician, researcher, educator, and academic administrator with expertise in statistical methodology, generalized linear models, robust statistics, and count data analysis. He currently serves as the Head of the Department of Statistics at the Oyo State College of Agriculture and Technology (OYSCATECH), Igboora, Nigeria, where he provides academic leadership, teaches undergraduate and Higher National Diploma courses, supervises research projects, and contributes to curriculum development and institutional service.
He recently earned a Ph.D. in Statistics, with research focused on developing novel two-parameter shrinkage estimators to mitigate the effects of multicollinearity and outliers in Poisson regression models. His work integrates theoretical statistical modelling, mathematical derivation, Monte Carlo simulation, and computation to improve parameter estimation and statistical inference for count data models. His research has resulted in peer-reviewed publications and reflects a strong commitment to advancing robust statistical methodology. His research interests include robust statistics, generalized linear models, shrinkage estimation, penalized regression, statistical computing, Bayesian statistics, machine learning, biostatistics, agricultural statistics, environmental statistics, and data science. He is particularly interested in developing innovative statistical methods that are mathematically rigorous, computationally efficient, and applicable to solving practical problems in health, agriculture, environmental science, economics, and public policy.
Dr. Kayode Olakunle has extensive experience in teaching, academic administration, statistical consultancy, and research mentoring. He is committed to fostering excellence in statistical education, promoting interdisciplinary collaboration, and translating methodological innovation into practical tools for scientific research and evidence-based decision-making.
To establish an internationally recognized research programme in robust statistical methodology, develop open-source statistical software in R and Python, secure competitive international research funding, and contribute to the global advancement of statistics through high-impact research, teaching, collaboration, and professional service.
Oyo State College of Agriculture and Technology (OYSCATECH)
Provides academic leadership, teaches ND/HND courses, supervises research, and drives curriculum development.
Federal University of Agriculture, Abeokuta (FUNAAB)
Lectures and supervises undergraduate degree students under the FUNAAB affiliation programme at OYSCATECH.
Provides strategic leadership, coordinates academic/operational activities, oversees staff workload allocation, facilitates accreditation exercises, and promotes interdisciplinary research within the department.
Committed to promoting student-centered learning through innovative teaching methodologies, critical thinking, practical problem-solving, and the effective integration of statistical computing and digital technologies into teaching and learning.
Teacher Education Centre, UNESCO, Shanghai Normal University, China.
Continuous participation in international conferences, workshops, and professional training programmes in Statistics, Artificial Intelligence, and Data Science. Regular engagement with the Royal Statistical Society (RSS) and the Nigerian Statistical Society (NSA) to maintain professional competence.