Sujit K. Sahu

Sujit Sahu is a Professor of Statistics at the University of Southampton with a focus on Bayesian modeling and spatio-temporal data analysis. He co-leads the Statistics group within the Statistical Sciences Research Institute (S3RI), contributing to environmental and health-related statistical research.

• Books: Author of Bayesian modeling of spatio-temporal data with R (Chapman & Hall/CRC Press) and Introduction to Probability, Statistics & R: Foundations for Data-Based Sciences (Springer Nature, 2024).
• Research Themes: Applied Bayesian modeling, environmental/climate statistics, spatio-temporal uncertainty quantification, and statistical software development (R package bmstdr).
• Grants: Sole investigator for EPSRC grant EP/J017485/1 (2013-2016, £365k) and key contributor to multi-institution projects like NERC grant NE/J012238/1 (2012-2015, £475k).

Publication Trends: 15 most recent works show a consistent focus on Bayesian spatio-temporal methods applied to epidemiology, environmental monitoring, and public health policy. Key subfields include disease mapping, air pollution exposure assessment, oceanographic data analysis, and statistical learning algorithm development.

Scientific Recognition: His 2022 Bayesian spatio-temporal textbook was honored as one of the Book Authority Best Bayesian Statistics Books of All Time.