Dr. Nema Dean

Associate Professor

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Biography

Nema Dean received her M.A. in Mathematics from Trinity College Dublin in 2002 and her Ph.D. in Statistics from the University of Washington, Seattle in 2006. She joined the University of Glasgow in the same year and has since been working as an applied statistician. Her research interests primarily focus on methodological development driven by practical problems. Areas she has worked in include educational testing, food authenticity, forensic statistics, chemometrics, medical applications, and urban studies. Nema has a wide-ranging interest in methodology, including cluster analysis, particularly model-based hierarchical methods, semi-supervised learning, variable selection, disease mapping, hierarchical Bayesian models, Bayesian approximation methods, boundary detection, and areal modeling. She is involved in various research groups and has contributed to grants focusing on understanding inequalities and social mobility. Nema enjoys supervising PhD students and teaches a variety of courses at both undergraduate and postgraduate levels, integrating new methodologies from her research into her teaching.

Research Interests

Experience

Reader

— Present

University of Glasgow • Glasgow, Scotland

Nema Dean has been a Reader in the Department of Statistics, focusing on applied statistics and methodological development.

Awards

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Statistics Chemistry Award

Courses

Data Mining & Machine Learning Measurement & Scaling