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.
