Inez Khan

Photo of Inez Khan
Research Assistant
Washington Office


B.S. in statistics and machine learning, Carnegie Mellon University


Inez Khan is a research assistant at the RAND Corporation. Previously, she has done research at Carnegie Mellon University's Heinz College developing machine learning models for crime prediction. She has also done research at NASA's Marshall Space Flight Center looking into how lightning and terrestrial gamma ray flashes are related. Originally starting off in Physics, she is now interested in interdisplinary research concerning applying machine learning methods to the public policy space. Khan graduated from Carnegie Mellon University with a B.S in Statistics and Machine Learning, and minors in Physics and International Relations.


Bengali; Arabic


  • Guided missile destroyer USS Forest Sherman (DDG 98) test fires its five-inch gun on the bow of the ship during training. The Sherman is currently conducting training exercises in the Atlantic Ocean, photo by Joshua Adam Nuzzo/U.S. Navy


    Naval Surface Fire Support: An Assessment of Requirements

    The authors developed recommendations to improve existing formal requirements and technological solutions regarding naval surface fire support, a way for the U.S. Navy to provide the equivalent of artillery support for forces operating ashore.

    Apr 16, 2020