Mackenzie Puig-Hall was a Program Manager with the Tech Policy Program at the Center for European Policy Analysis (CEPA).

She holds a master's degree in International Science and Technology Policy from The George Washington University and an undergraduate degree in Mechanical Engineering from the University of California, Irvine. Mackenzie has worked across multiple fields, leveraging her technical, policy, innovation, and strategic foresighting backgrounds to build coalitions between interdisciplinary stakeholders and provide actionable policy solutions for AI and other emerging technologies.

Mackenzie Puig-Hall previously supported the US Space Force's Chief Technology and Innovation Office (CTIO) as a trusted advisor, contributing to the formulation of strategies for innovation and emerging technologies to bolster US competitiveness. As the embedded innovation expert for The Aerospace Corporation’s Space Policy Team, Mackenzie Puig-Hall collaborated with the nation’s top space policy experts, refining her ability to synthesize research into actionable policy solutions for addressing innovation challenges. She provided analysis to inform White House space strategies, the development of the UK's space agency, and DoD innovation strategies. Additionally, she worked closely with international organizations, including conducting novel research on emerging space nations for the United Nations Office for Outer Space Affairs.

As a part of The Aerospace Corporation’s Innovation Lab, Mackenzie managed a portfolio investing in early-stage emerging technology research to fuel broader innovations across the space industry. This program, Mackenzie transitioned hundreds of projects, many focusing on AI and digital technologies, to be incorporated into larger US space programs. Mackenzie also worked closely with several federal agencies to promote innovation and the responsible use of AI and emerging technologies. She provided recommendations for NASA’s future strategy through foresighting workshops to gather industry feedback and worked with US Space System Command to design and implement AI-powered tools for evaluating commercial R&D proposals based on competing government needs.