Martin Neil

Professor Martin Neil is a leading academic in Computer Science and Statistics at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. His research focuses on Bayesian networks, risk assessment, AI applications, and causal modeling, with notable contributions to medical analytics, cybersecurity, legal reasoning, and software engineering. He co-founded Agena Ltd, pioneering Bayesian AI software like agena.ai for decision support and risk analysis. Neil has authored influential books, including the second edition of Risk Assessment and Decision Analysis with Bayesian Networks, and holds grants from EPSRC and the Leverhulme Trust for projects like PAMBAYESIAN and improved causal modeling.

His work spans interdisciplinary collaborations, including healthcare, finance, and legal systems. He has served as a Fellow at the Isaac Newton Institute (2016) and contributed to high-profile initiatives like the Centre for Multimodal AI. Neil’s teaching includes modules on Bayesian Decision and Risk Analysis at undergraduate and postgraduate levels. His research emphasizes practical applications, such as improving vaccine efficacy analysis, cybersecurity frameworks, and medical device risk management.

Key grants include a £1.5M EPSRC project (PAMBAYESIAN) and a Leverhulme Trust award for causal modeling. His publications address topics from pregnancy outcome modeling to FAIR-based cybersecurity frameworks. Neil’s software tools and frameworks, such as AgenaRisk, are widely used for probabilistic reasoning and risk assessment.