Rate My Professor Elizabeth Stojanovski

Dr Elizabeth Stojanovski is a Senior Lecturer in the Discipline of Data Science and Statistics in the School of Information and Physical Sciences at the University of Newcastle, part of the College of Engineering, Science and Environment. She earned her PhD, Bachelor of Mathematics (Honours), and Bachelor of Mathematics from the University of Newcastle. Earlier in her career, she worked as a Research Academic in the School of Medicine and Public Health at the University from August 2004 to June 2006. Stojanovski has managed the statistical consulting unit at the University of Newcastle, offering statistical support to industry, academics, and postgraduate students. As Leader of the Mathematics Education Research Group within the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA), she has supervised PhD, Masters, and Honours students. She possesses expertise in teaching statistics across undergraduate and postgraduate levels to various disciplines, including psychology, health, and business.

Her research focuses on biostatistics, longitudinal modelling, multivariate statistics, population health, and statistics, emphasizing longitudinal relationships between life events and physical and mental health. Stojanovski has adapted and extended multivariate statistical methods, including those in Bayesian frameworks, longitudinal analyses, structural equation modelling, and meta-analytic approaches. Her applied research spans health areas such as tobacco control methods, gene effects on cancer treatments, cholesterol and blood pressure interventions, and education initiatives to enhance mathematics and statistics teaching. Notable publications include "Benchmarking of Clustering Validity Measures Revisited" with Connor Simpson and Ricardo J. G. B. Campello (2026, Statistical Analysis and Data Mining), "Using multi-way correspondence analysis to examine the Nobel Prize data in STEM related disciplines" with T. Alhuzali and E. J. Beh (2024, Communications in Statistics Case Studies Data Analysis and Applications), "Curcumin potentiates cholesterol-lowering effects of phytosterols in hypercholesterolaemic individuals" with J. J. A. Ferguson et al. (2018, Metabolism: Clinical and Experimental), and "Multiple correspondence analysis as a tool for examining Nobel Prize data from 1901 to 2018" with T. Alhuzali and E. J. Beh (2022, PLOS ONE). She has obtained $496,000 in grant funding as a chief investigator, received the Research Award for "Temporal association between life events and health" (2001), presented at international and national conferences, and serves as a member of the Statistical Society of Australia. Additionally, she reviews NHMRC project grants, manuscripts for the Medical Journal of Australia, PhD theses, and journal articles.