Sujit Sahu

Professor Sujit Sahu is a renowned statistician specializing in Bayesian modeling and spatio-temporal data analysis at the University of Southampton. Since joining the university in 1999, he has held a professorial position in the Department of Mathematics and Statistics, contributing significantly to research and education in statistics. His work focuses on developing advanced statistical methods for environmental and health applications, including air pollution modeling, disease mapping, and oceanographic studies.

Education:

• PhD in Statistics, University of Connecticut, 1994
• Masters in Statistics, Indian Statistical Institute, 1989
• Bachelor of Statistics (Honors), Indian Statistical Institute, 1987

Research Interests:

• Applied Bayesian Modelling and Computation
• Spatio-Temporal Data Modelling with R
• Environmental and Climate Science Applications
• Statistical Software Development (e.g., R package bmstdr)

Selected Projects:

• Mapping zero-dose populations in conflict zones and remote areas
• Surveillance of Guinea worm disease using geospatial methods
• Development of the MetSim tool for hospital demand forecasting
• Analysis of long-term health impacts of air pollution

Publications and Awards:

• Author of critically acclaimed books: Bayesian Modeling of Spatio-Temporal Data with R (2022) and Introduction to Probability, Statistics & R (2024)
• Recipient of the Book Authority Best Bayesian Statistics Book Award (2024)
• Over 60 peer-reviewed articles on spatio-temporal methodologies and applications

Teaching and Mentorship:

• Develops courses on Bayesian modeling and statistical computing
• Supervised numerous postgraduate students and postdoctoral researchers
• Founder of the bmstdr R package for spatio-temporal analysis