Rate My Professor Nonhle Mdziniso

Nonhle Mdziniso is an Assistant Professor of Applied Mathematics in the School of Mathematics and Statistics, College of Science, at Rochester Institute of Technology. She holds a PhD in Mathematical Sciences with a concentration in Statistics from Central Michigan University, completed in 2018, with a dissertation titled Generalization of the Odd Pareto and Odd Weibull Distributions. Earlier, she earned an MA in Mathematics from Marshall University in 2012, with a thesis on The Quotient of the Beta-Weibull Distribution. Prior to her current role at RIT, Mdziniso served in the Department of Mathematical and Digital Sciences at Bloomsburg University of Pennsylvania. Her research focuses on probability distributions theory and applications, statistical modeling, parametric and nonparametric regression, data mining, and machine learning. She has contributed to the development of new statistical distributions, including the Odd Pareto families for modeling loss payment data published in the Scandinavian Actuarial Journal (2018), Extended Lindley Distribution with applications in Revista Colombiana de Estadística (2022), and the Exponentiated Odd Lindley-X Power Series Class of Distributions: Properties and Applications in Annals of Data Science (2025). Additional key publications encompass Parametric Analysis of Renal Failure Data using the Exponentiated Odd Weibull Distribution in the International Journal of Statistics in Medical Research (2018), Comparison of Three Weibull Extensions in the International Journal of Scientific and Statistical Computing (2020), and Artifact Removal for Physiological Signals via Wavelets presented at the Eighth International Conference on Digital Image Processing (2016).

At RIT, Mdziniso teaches a range of statistics courses, including STAT-205 Applied Statistics, STAT-257 Statistical Inference, STAT-330 Introduction to Data Visualization, STAT-495 Undergraduate Research in Statistical Science, STAT-745 Predictive Analytics, and capstone thesis projects. She is a core faculty member of the Center for Advancing Scholarship to Transform Learning (CASTLE) and serves as advisor for the RIT Student Chapter of the Association for Women in Mathematics. Her scholarly activities include presentations at major conferences, such as the Joint Mathematics Meetings (2026) on efficient computation of pattern distributions through auxiliary Markov chains, and the Science and Information Conference (2024) on student engagement across teaching modalities in introductory statistics. Mdziniso's work applies advanced statistical models to real-world datasets in medical research, actuarial science, and education.