Nicolas Robles is a mathematician at RAND's Washington, DC office. At RAND, Robles designs and executes mathematical tools for defense and public policy makers. In addition, he performs research on the impact of emerging and quantum technologies in national security. Moreover, Robles has worked on employing machine learning tools to assist the U.S. Air Force with its recruitment, developed stochastic simulation tools for the US Air Force, assessed sensor technologies to counter weapons of mass destruction for DHS, and generated graph theoretical models with missing input-output economic data, among other topics.
Prior to joining RAND, Robles was a computational scientist at IBM Quantum in NY. His areas of expertise are quantum simulation of stochastic processes with applications to chemistry and quantitative finance as well as to post quantum cryptography. Before his tenure at IBM, he was a J L Doob Research Assistant Professor of mathematics at the University of Illinois at Urbana-Champaign and also worked at Bank of America Merrill Lynch and Wolfram Research Inc.
Ph.D. in mathematics, Universität Zürich; M.S. in mathematics, University of Cambridge; M.S. in theoretical physics, Imperial College; M.S. in mathematics, London School of Economics and Political Science
