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Professor Surajit Ray is a distinguished academic in the field of Statistics at the University of Glasgow. His research interests encompass model selection, geometric theory, mixture models, and functional data analysis, with a particular focus on the challenges presented by high-dimensional data. His methodological research spans multivariate mixtures, structural equation models, and clustering approaches. He collaborates on projects addressing critical issues in immunology and the modeling of climate-ecosystem dynamics, as well as employing AI techniques in medical image segmentation. Professor Ray has successfully secured substantial funding through various grants, contributing to advancements in statistical methods and their applications in healthcare and environmental science. He has also played an influential role in supervising PhD candidates in related fields, thus mentoring the next generation of researchers.
University of Glasgow • Glasgow, Scotland
Leading research and teaching in Statistics, focusing on model selection and functional data analysis.