Phillip Taylor
Phillip Taylor is Data Scientist at Trilateral Research.
He is co-developing Trilateral’s data-driven solution for risk assessment and human security analysis in the public sector (HAMOC), which leverages machine learning techniques to support the user in understanding the human environment in conflict and crises. His main interests lie in developing data driven solutions to complex problems, requiring contextual understanding and interdisciplinary insights.
Research Background
Following a PhD in Computer Science at the University of Warwick in data mining of vehicle telemetry, Phillip worked as a Senior Research Fellow at the University of Warwick. During this time he undertook research in data science, including in data compression and feature selection, and agent based systems, including in trust and reputation. Phillip has authored several peer-reviewed publications, collaborating with academics at several institutions, including King’s College London, University of Exeter, Universidade Federal do Rio Grande do Su, and University College London, and industrial partners, including Jaguar Land Rover and Black Pepper. He has also reviewed for a number of journals and international conferences. Moreover, he was awarded a British Academy grant on the speculative fit between blockchain technology and waste law.
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