James McGree

Professor James McGree is Professor of Statistics in the School of Mathematical Sciences at Queensland University of Technology, holding a PhD from the University of Queensland. His research focuses on optimal experimental design, Bayesian adaptive methodology, and innovative clinical trial development.

Research interests span:

• Bayesian adaptive designs for clinical and ecological applications
• Statistical methodology for complex spatial and temporal data
• Optimization of sampling strategies for environmental monitoring

His publication portfolio demonstrates extensive methodological development in Bayesian statistics applied to environmental science, healthcare, and industrial optimization. Recent work includes flood mitigation strategies, coral reef monitoring, and clinical trial designs for rare diseases.

Professor McGree actively supervises doctoral candidates working on Bayesian system identification, subsampling methods for big data, and robust clinical trial designs.