Rowland Seymour

Dr. Rowland Seymour is an Associate Professor in Mathematics, specializing in Bayesian Inference, Comparative Judgement, and Computational Statistics. His research focuses on high-stakes applications such as modern slavery, forced marriage, and public health, with recent outputs in both peer-reviewed journals and software development.

• Fields of Interest: Comparative Judgement, Bayesian Inference, Gaussian Processes, Public Health, Modern Slavery, Forced Marriage, Computational Statistics, Criminal Justice System
• Active Projects: Cultivating Positive Research Culture for LGBTQ+ STEM Researchers (Principal Investigator, 2025–2026), Computational Statistics to Tackle Modern Slavery (Principal Investigator, 2024–2028), Prevalence Estimation Training for IJM (Principal Investigator, 2025–2026)

His 2025 publications include prevalence estimation for child sexual exploitation material (CSEM) trafficking in the Philippines and Bayesian models for justice system throughput. In 2024, he developed software for Comparative Judgement analysis and published work on cognitive impairment and exploitation. He collaborates with institutions like the Engineering & Physical Science Research Council and UK Research and Innovation.