Rate My Professor Surajit Ray

Professor Surajit Ray is a Professor of Statistics in the School of Mathematics & Statistics at the University of Glasgow. He earned his PhD in 2003 from The Pennsylvania State University under the supervision of Bruce Lindsay. Prior to his current position, which began in 2014, Ray served at Boston University from 2007 to 2013. His research centers on model selection, the theory and geometry of mixture models, and functional data analysis, particularly addressing challenges from high-dimensional data vectors and large numbers of observations. Methodological contributions include multivariate mixtures, structural equation models, high-dimensional clustering, and functional clustering. Collaborative projects encompass immunology, climate-ecosystem dynamics modeling, and uncertainty quantification for AI algorithms in medical image segmentation, with partnerships involving NHS Scotland and industry.

Ray is a member of the EPSRC Peer Review College. He has authored over 60 publications documented in the University of Glasgow repository. Notable publications include 'Adeno-associated virus 2 infection in children with non-A–E hepatitis' (Nature, 2023), 'SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway' (Nature Microbiology, 2022), 'Hepatitis C virus diversity and treatment outcomes in Benin; a prospective cohort study' (The Lancet Microbe, 2024), 'Correlation between pseudotyped virus and authentic virus neutralisation assays, a systematic review and meta-analysis of the literature' (Frontiers in Immunology, 2023), and 'A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest x-rays' (Scientific Reports, 2022). Recent works cover quantitative 99mTc-EDDA/HYNIC-TOC SPECT-CT imaging (Nuclear Medicine Communications, 2025), robustness of textural features in SPECT-CT (EJNMMI Physics, 2025), and spatiotemporal regression for river water quality (2025). Ray supervises projects on medical image segmentation of diabetic foot ulcers and tumors, mortality prediction in SARS-CoV-2 patients, coronavirus vaccine efficacy with the MRC-University of Glasgow Centre for Virus Research, functional data analysis, and water quality modeling in the Ramganga sub-basin. He teaches Predictive Modelling (STATS5076) from 2014 to 2025.