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Tereza Neocleous is a Senior Lecturer in Statistics at the University of Glasgow. As an applied statistician, her research focuses on developing flexible models that enhance the understanding of data and facilitate inference. Her work primarily involves the modeling of multilevel and multivariate data, with applications in forensic science, health, environmental, and social sciences. Tereza leads projects that employ Bayesian hierarchical methods, quantile regression, and variable selection techniques, particularly in the context of longitudinal and hierarchical data analysis. She is actively involved in supervising both undergraduate and postgraduate students, and her teaching philosophy is centered on hands-on learning experiences that encourage active participation. In recent years, she has adapted her teaching methods to include online course design and delivery, notably for the Online MSc in Data Analytics.
University of Glasgow • Glasgow, Scotland
Tereza Neocleous teaches a variety of statistics courses and supervises research projects at both undergraduate and postgraduate levels.