BIO

Aisha Nájera is an AI Policy Fellow at the Princeton AI Lab , where she works with the California Health and Human Services Agency’s Office of Technology and Solutions Integration (OTSI) to advance responsible and secure AI adoption. She is also a senior mathematician at the RAND Corporation, specializing in AI policy and national security

Aisha has led complex projects for regulatory bodies and government agencies, including the U.S. Army and DHS, and contributed analysis and workshops with CAISI, previously called the US AI Safety Institute. Her work in AI policy has informed guidelines for mitigating digital content forgery harms, and she has conducted foundational analysis of cross-sector AI risks. Her research also addresses the intersection of AI and energy infrastructure. She co-authored reports assessing the United States’ future AI-related power capacity and providing public comments on AI data center siting on DOE lands, contributing to energy and technology planning.

Her national security research applies predictive modeling to Army supply chains and military logistics, helping improve efficiency, readiness, and inventory management. She co-organized a National Science Foundation sponsored workshop on mathematics and public policy at the Institute for Pure and Applied Mathematics, convening experts to address issues such as climate change and cybersecurity, and later served as editor of the resulting AWM Springer volume Research in Mathematics and Public Policy.

Earlier in her career, Aisha was a consultant with IBM Global Business Services, where she worked on software implementations and strategic opportunities for some of IBM’s largest global clients. She holds a Ph.D. in mathematics from Claremont Graduate University, an M.S. in mathematics from the University of Arizona, and a B.S. in mathematics from the National University of Mexico.