Biography

Ekele Alih is a Senior Lecturer in Statistics at the Federal University Oye-Ekiti, Nigeria, with over two decades of experience teaching undergraduate and postgraduate courses. He holds an HND, B.Sc., PGD, M.Sc., and PhD in Statistics. His research spans multivariate methods—particularly clustering and classification—probability distributions for modeling outliers and extreme events, regression, density estimation, statistical quality control, and health statistics.

Alih’s current focus lies in Bayesian hierarchical models for adaptive platform trials, including methodologies for incorporating real-world evidence and observational data to augment clinical trials. His mission is to advance biostatistical tools for flexible classification and robust prediction in settings marked by uncertainty. Proficient in R programming, he develops bespoke implementations of statistical models. His work reflects a blend of theoretical innovation and applied relevance, aligning with efforts to measure and enhance decision outcomes with a methodological depth and interdisciplinary perspective to evaluating success metrics.