Ezra Webb is a Data Analyst at Trilateral Research.
He is currently working with the Data Science team on the development of STRIAD solutions, particularly focusing on the INNOVATE UK funded CESIUM project, which aims to develop better methodologies for identifying risk of child exploitation using machine learning algorithms.
His research interests include deep learning on graph structured data and the development of techniques for elucidating the feature spaces of deep learning algorithms and their decision making processes.
Ezra completed his MSci in Physics at the University of Cambridge, where he also earned a BA in Natural Sciences. His master’s thesis was based on using deep learning and graph neural networks to develop models for complex physical dynamical systems in an unsupervised way.
He has also conducted research projects, involving deep learning, computer vision and full-scale simulations to aid feasibility, at the University of Tokyo and the California Institute of Technology.
You can view the Executive Summary and Table of contents of the Project Solebay Risk Assessment Methodology Report.
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