Jake McNaughton specialises in mathematics, physics, and machine learning applications in high-risk environments. He holds a Bachelor of Science in Mathematics and Physics from the University of Canterbury, an Honours degree in Mathematics, and a Master of Engineering in Bioengineering from the Auckland Bioengineering Institute. Jake’s research focuses on the intersection of AI, synthetic data generation, and decision-support systems. Jake is applying advanced computational techniques to nuclear decision-making, using digital twins to simulate complex crisis scenarios and uncertainty models.
Jake McNaughton
Research Data Engineer, AI and Cyber Futures Institute
Content by Jake McNaughton
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.