Jasmin Leveille

Photo of Jasmin Leveille
Information Scientist
Washington Office

Education

Ph.D. in cognitive and neural systems, Boston University; M.S. in evolutionary and adaptive systems, University of Sussex; B.S. in psychology (major) and mathematics (minor), University of Montreal; B.S. in pure and applied mathematics, University of Montreal

Overview

Jasmin Léveillé is an information scientist at RAND Corporation where his work focuses on topics related to artificial intelligence. He was previously a Lead Research Scientist at Scientific Systems Company Inc (SSCI), where he led R&D efforts in machine learning to enable autonomy in small Unmanned Aerial Systems and other types of aerial platforms. He also led data science research programs on topics ranging from the use of open source data to understand the causes of deterrence in the Gray Zone, to landmine detection and classification.

Languages

French

Commentary

  • Running 3d wireframe man in an abstract environment, photo by imaginima/Getty Images

    Embrace Open-Source Military Research to Win the AI Competition

    Unless the Pentagon embraces a more open approach to artificial intelligence, it will be left behind. Private sector innovation in this space is too fast. But what are the risks of disseminating potentially sensitive AI technology? And what should not be disclosed?

    Oct 16, 2019 War on the Rocks

Publications