Daniel Moore joined the Center for Urban Policy Research in January 2026 and is currently a PhD student in Industrial and Systems Engineering at Rutgers School of Engineering. His work focuses on reliability and optimization for large-scale systems, with an emphasis on supporting electricity policy through engineering and economics. He employs prescriptive and predictive analytic methods, data science, and machine learning to explore solutions to the complex problems facing the electricity grid to include accommodating uncertain demand growth with investments in generation, transmission, and renewables integration.

Prior to returning to academia, Daniel worked at Arup, where he advised public- and private-sector clients on reducing risk across major infrastructure projects, including airport terminals, bridges, passenger rail, and water distribution networks. His role centered on developing detailed analytical tools, simulations, and custom computational workflows to evaluate risks and develop practical and cost-effective mitigations.

Daniel began his career as an officer in the United States Army, serving eight years in leadership roles before transitioning to engineering consulting. He brings a practical, implementation-focused perspective to his research at the intersection of energy systems, optimization, and public policy.