Ken Ryan

Ken Ryan is Professor of Statistics at West Virginia University and Fellow of the American Statistical Association. He serves as Associate Director overseeing statistics within the School of Mathematical and Data Sciences, coordinating research initiatives and academic programs.

Ryan's research develops statistical methodologies across experimental design, semi-supervised learning, and reliability modeling. Key contributions include covariate shift solutions in regression, combinatorial algorithms for optimal designs, and Bayesian degradation models for reliability testing. His work frequently addresses high-dimensional and complex-system applications through geometric and computational approaches.

His publication record demonstrates sustained innovation across statistical computing, experimental optimization, and machine learning interfaces. Recent methodological extensions address overlapping count distributions and sequential Bayesian assurance testing while maintaining foundational research on orthogonal array classification and semi-supervised regularization.