Nathan Damaj has extensive experience in data, systems architecture, and AI applications in finance and security. Before joining AICF, he worked at the Commonwealth Bank of Australia Behavioural Science Centre of Excellence, within its Decision Science and AI division, where he facilitated cutting-edge behavioural research collaborations with leading academics from Harvard, Stanford, Chicago Booth, the University of Sydney, and the University of Melbourne. He was part of the team that developed the award-winning Benefits Finder tool. Nathan has deep expertise in cloud computing, automation, and AI-driven decision systems, with a strong interest in applying emerging technologies to cybersecurity and nuclear decision making. His current work focuses on leveraging data-driven models to enhance strategic resilience in NC3 systems.
Nathan Damaj
Research Data Architect, AI and Cyber Futures Institute
Content by Nathan Damaj
Policy brief
Technological complexity and risk reduction: Using digital twins to navigate uncertainty in nuclear weapons decision-making and EDT landscapes
This policy brief explores the integration of digital twin technologies into nuclear decision-making processes, assessing their potential to reduce risks stemming from emerging disruptive technologies (EDTs). It argues for international dialogue, transparency, and responsible innovation to prevent misuse, enhance NC3 resilience, and strengthen strategic stability through informed, scenario-based crisis simulations.