Joseph Bullock

Joseph has recently joined RiskEcon® Lab as an Industry Research Associate. Joe is also the AI Research Fellow at United Nations Global Pulse, an innovation initiative of the UN Secretary-General to harness big data, AI and other emerging technologies for sustainable development and humanitarian action. He is currently working on a number of projects with the UN including designing Convolutional Neural Net (CNN) based algorithms for object detection in satellite images of refugee camps, modelling the populations of refugee camps based on these images and information from ground operatives, as well as developing a highly customisable media analysis tool for cataloging, querying and identifying local and global trends on social media, news sources, and radio. Prior to this, he has spent some time working in the healthcare sector, developing a tool for automatic X-Ray image segmentation for scatter correction.

Joseph is also a PhD candidate, under Dr Simon Badger, at the Institute for Particle Physics Phenomenology, the UK’s national theoretical particle physics research laboratory based at Durham University, and is part of the Centre for Doctoral Training in Data Intensive Science. His work at Durham is mainly in Quantum Chromodynamics, identifying the theoretical sources of anomalies in particle decays, as well as looking at new ways of predicting singularities in complex integrals. Joseph’s research is funded by STFC/UKRI, and he has also received contributions from Intel and NVIDIA.