Jair Aguirre is a senior technical analyst at RAND and a professor at Pardee RAND Graduate School. His research is focused on cyberwarfare, artificial intelligence, and emerging technologies. He often couples quantitative approaches such as machine learning with cutting-edge information technology to discover solutions to challenging problems.
Prior to joining RAND, Aguirre developed big data analytic techniques for computer network exploitation and produced forecasts for emerging technologies, assessed their impact, and advised on investments to reduce the risk of technological surprise. Additionally, he has conducted counter-terrorism work in support of US national-level objectives.
Jair Aguirre holds an M.S. degree in applied economics from the Johns Hopkins University, as well as multiple industry cybersecurity and data science technical certifications. He speaks Spanish and Arabic.
John S. Davis II, Benjamin Boudreaux, Jonathan William Welburn, Jair Aguirre, Cordaye Ogletree, Geoffrey McGovern, Michael S. Chase, Stateless Attribution: Toward International Accountability in Cyberspace, RAND Corporation (RR-2081), 2018