Dr Paul Madley-Dowd is a statistician and epidemiologist specialising in target trials, causal inference, and analysis methods to handle missing data in observational research. His research focuses on developing and applying robust methodological approaches to draw valid causal conclusions from complex health data. His recent methodological contributions include guidance on the use of multiple imputation and the role of auxiliary variables in reducing bias, and the development of directed acyclic graph–based methods to determine when multiple imputation produces unbiased exposure–outcome estimates.

He completed his PhD at the University of Bristol, where his doctoral research investigated whether relationships between maternal exposures and offspring outcomes were likely to reflect causal effects using advanced epidemiologic methods. Since then, Paul has continued his academic career within Bristol Medical School. Paul teaches and collaborates across interdisciplinary teams, contributing to courses and seminars on causal inference and epidemiologic methods. His broader goal is to enhance how causal questions are answered in population health research, improving the reliability and interpretability of evidence that informs clinical practice and policy.