Frank Tuyl

Dr. Frank Tuyl is a Lecturer at the University of Newcastle, affiliated with the College of Engineering, Science and Environment and the School of Information and Physical Sciences, with a focus on Data Science and Statistics. He holds a PhD in Statistics from the University of Newcastle and has over 20 years of experience in statistical and operations research consulting across manufacturing, IT, academia, and health sectors.

• Research Expertise: Applied Statistics, Biostatistics, Statistical Theory
• Email: frank.tuyl@newcastle.edu.au

Dr. Tuyl specializes in Bayesian methods and applications, particularly in prior elicitation, posterior predictive distributions, and handling zero-event scenarios in statistical modeling. His work spans healthcare monitoring, tobacco use projections, financial statistics, and clinical prediction rules. He has contributed to the development of credible intervals for probabilistic evidence in physical therapy and epidemiology.

His 2024 article in Statistical Science revisits Jeffreys' century-old prior point mass methodology for binomial distributions, while earlier works focus on Bayesian consensus priors, multinomial models, and global tobacco trends. His publications demonstrate a consistent application of Bayesian inference across public health, clinical diagnostics, and industrial statistics.

Supervision and Grants: Dr. Tuyl has served as Principal or Co-Supervisor for four PhD completions. He has secured 10 grants totaling $638,341, primarily from the World Health Organization, Department of Health and Aged Care (Australia), and internal University of Newcastle funds. Projects include mortality impact analysis for tobacco interventions, Bayesian hierarchical modeling, and statistical tool development for the WHO Interactive Smoking Projection Tool.