Prof Martin Neil
Professor of Computer Science and Statistics
Research Interests
- Bayesian Networks
- Risk Analysis (in all domains)
- Machine Learning and Statistics
- Decision Support
- Monte Carlo Simulation
- Data Fusion and Intelligent Systems
I develop and use AgenaRisk to model risk, for designing intelligent systems and for data analysis.
Martin is Professor in Computer Science and Statistics at the Department of Computer Science, Queen Mary, University of London, where he teaches decision and risk analysis and software engineering. Martin is also a joint founder and Chief Technology Officer of Agena Ltd, who develop and distribute AgenaRisk, a software product for modeling risk and uncertainty (Contact: martin@agena.co.uk) and a Visiting Professor in the Faculty of Engineering and Physical Sciences, University of Surrey.
Martin has over twenty years experience in academic research, teaching, consulting, systems development and project management and has published or presented over 40 papers in refereed journals and at major conferences . His interests cover Bayesian modeling and/or risk quantification in diverse areas: operational risk in finance, systems and design reliability (including software), software project risk, decision support, simulation (using dynamic discretisation as an alternative to Monte Carlo) cost benefit analysis, AI and personalization, and statistical learning.
Martin has consulted to Motorola, Philips, NATS, QinetiQ, Advantica, DSTL (UK MOD), ABSA, Ericsson, Royal Bank of Canada, TNO and others, either providing advanced risk modeling expertise or systems deployment and integration using AgenaRisk. Before setting up Agena and joining academia Martin previously held senior positions with JP Morgan and Lloyds Register in the areas of software project governance and safety critical systems evaluation respectively.
Martin earned a BSc in Mathematics, a PhD in Statistics and Software Metrics and is a Chartered Engineer.
Contact
Room: CS 439Tel: +44 20 7882 5221
email: Martin.Neil@eecs.qmul.ac.uk
website: http://www.eecs.qmul.ac.uk/~martin