Dr. Phil Legg is an Associate Professor in Cyber Security and Programme Leader for MSc Cyber Security at the University of the West of England (UWE Bristol), UK. His research interests address many aspects of Cyber Security, including how visual analytics and machine learning can improve intepretability and understanding of risk, and improve robustness of modern security technologies. His research ranges from insider threat detection and cyber situational awareness, through to human-machine teaming to understanding confidence and trust of multiple agents, and active learning from limited data samples in security appliances. Other related interest areas include Vision, Graphics, Visualisation, and Human-Computer Interaction. At UWE Bristol, he is an active researcher within the Computer Science Research Centre in the Department of Computer Science and Creative Technologies.

He obtained both his BSc Computer Science and his PhD Computer Science from Cardiff University, in 2006 and 2010 respectively. His PhD research focused on multi-modal image registration techniques, in particular to develop robust algorithms for automatic alignment of images captured from the retina (eye) that can assist clinicians with early detection and prevention of glaucoma disease. The work involved developing novel image similarity algorithms that work in conjunction with sophisticated search optimisation routines for being able to align images both quickly and accurately. The work was originally developed in partnership with the School of Optometry and Vision Sciences at Cardiff University, and has since been developed into a software suite for the University Hospital Wales.

He has worked as a Research Associate at Swansea University (2010-2013) on the Sports Video Visualization project. His work focused on novel techniques for capturing, analysing, and visualizing sports data were developed in conjuncntion with professional sports analysts, including the Snooker Champion Terry Griffiths, and the Welsh Rugby Union. His work has since been published in many top academic journals, including the IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and IEEE Computer Graphics and Applications. A spin-out company was formed as a result of the project, SportsViz Ltd., for which he was actively involved with and served as a managing director in the early years of setting up.

He has also worked as a Research Associate at the University of Oxford (2013-2015), on the Corporate Insider Threat Detection project. His work was focused on developing novel techniques for analysing, and understanding motives and deviations of user activity for the purpose of identifying suspicious and malicious activity within large organisations. The work considered novel integration between machine learning and visual analytics, and was developing in conjunction with Cisco Technologies, and the Center for Protection of National Infrastructure (CPNI). The work has been published at many academic venues, including the IEEE Workshop on Research in Insider Threat at IEEE Security and Privacy, and the Managing Insider Security Threats conferences in South Korea. In addition to his teaching duties within the Department of Computer Science at Oxford, he was also appointed as a lecturer at Worcester College and at St. Catherine's College, where he taught Computer Graphics.

He has also worked as a freelance software developer. His passion for kayaking and snowboarding resulted in developing three iOS apps (Tide Times, Ship Forecast, and Ski Season). Tide Times became particularly popular, receiving over 40,000 paid downloads from the iOS App Store. It was the Top Paid app in the Weather category during Summer 2011, and it was also voted in the Apps magazine poll of the 2013 Top 200 Apps. He has also developed more bespoke software tool, including the notional analysis iOS app, PocketCoder. This app is used by sporting professionals worldwide to capture and record events for training purposes. It is used by a number of professional sports clubs, including Manchester United FC, Barnsley FC, Bolton Wanderers FC, Leicester Tigers Rugby Union, and the Welsh Rugby Union. Other commercial software projects have been carried out for the NHS and for the Cardiff University TRIPOD project.