Loyd has worked for the last 6 years in the development and integration of automatic and autonomous aircraft systems at Dryden. Specifically, as a part of the joint USAF/NASA Automatic Collision Avoidance Technologies (ACAT) project, he supported requirements generation, development activities, and performed integration and testing of the Automatic Ground Collision Avoidance System (Auto GCAS) on the USAF F-16. This F-16 Auto GCAS team effort was awarded the 2011 Aviation Week Information Technology and Electronics Laureate Award. Loyd also served as the principle software developer for the joint NASA/USAF Global Elevation Data Adaptive Compression System (GEDACS) project which developed custom adaptive geographical information to support Auto GCAS and other autonomous systems for the USAF F-22 fighter platform. This software system received the 2011 NASA software of the year honorable mention. He was on the software development, integration, and testing team for the DFRC small UAV Auto GCAS (SUAV-GCAS) project which successfully demonstrated how a smart phone could be used to provide on-board automatic ground collision avoidance on a UAV platform. Loyd is currently the principle investigator for the multi-level autonomous piloting system project which is developing a framework for certifying autonomous systems through the use of high authority safety-critical systems. He has experience developing probabilistic analysis, machine learning, and decision theory software systems during his education.