Aisha Najera is a mathematician at RAND. Her research spans AI policy and safety, national security, and equity. Her work in AI policy and safety has contributed to guidelines for mitigating digital content forgery harms and she has conducted foundational analysis of cross-sector AI risks to critical infrastructure. She is also dedicated to exploring the societal implications of technology to promote responsible innovation. In national security, her focus is on enhancing defense operational efficiency, improving readiness, and optimizing inventory management with predictive models. By employing mathematical models, machine learning, artificial intelligence, and data analysis, she provides insights that inform strategic decisions and bolster operational reliability.
Najera co-organized a multidisciplinary workshop in mathematics and public policy, which resulted in the publication of a Springer book. The workshop, sponsored by the National Science Foundation, brought together women from industry and academia to collaborate on pressing policy issues, including climate change and cybersecurity.
Prior to joining RAND, Najera was a consultant for IBM Global Business Services, where she worked on software implementations and strategic business opportunities for some of IBM’s largest global clients.
She holds a Ph.D. in mathematics from Claremont Graduate University. She also has an M.S. from the University of Arizona and a B.S. from the National University of Mexico, both in mathematics.
Ph.D. in mathematics, Claremont Graduate University
Spanish
