RiskEcon® Lab for Decision Metrics @ Courant Institute

Joseph (Joe) Aylett-Bullock is a science advisor at RiskEcon^® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU.

Joe is also a Researcher at United Nations Global Pulse, an innovation initiative of the UN to harness emerging technologies for humanitarian development as part of the Executive Office of the UN Secretary-General. Through his research at UN Global Pulse, Joe has worked on projects involving the UN Department for Political and Peacebuilding Affairs (UNDPPA), the UN High Commissioner for Refugees (UNHCR), UN Peacekeeping (UNP), the UN Office for the Coordination of Humanitarian Affairs (UNOCHA) and UNOSAT, the UN’s satellite program. His work at UN has included: developing Artificial Intelligence (AI) methods for automating satellite image analysis for mapping refugee camps, conducting damage assessment and flood detection; assisting UN field missions understand political sentiment in social media posts; assessing the risks of automated text generation; and investigating the human rights implications of AI. Joe has spoken widely on the use of AI in the humanitarian sector, was a Track Chair for the AI for Social Good workshop at NeurIPS, the world’s largest AI conference, and Senior Program Chair for the Social Impact Track at AAAI 2020.

Joe recently completed a doctorate at the Institute for Particle Physics Phenomenology, the UK’s national particle physics research laboratory and part of Durham University, working on approximating high precision calculations for complex particle collision processes at CERN using Machine Learning. Joe has also consulted for the private sector, working primarily with organizations in the insurance and medical sectors, including developing a new methodology for automatic X-Ray image segmentation now being used in production. He is an affiliate of the Institute for Data Science at Durham University, where he conducts research on applications of AI to a variety of real-world problems.