Dr. Andrew Christianson joined the Expeditionary Electronic Warfare division at Naval Surface Warfare Center – Crane following completion of his Ph.D. at Purdue University. His research at Purdue focused on passive intermodulation generated in filters, cables, connectors and antennas. Among other things, he studied effects such as thermally varying resistance and its contribution to intermodulation generation. Initially at Crane, his work focused on exploitation of threat devices for counter radio-controlled improvised explosive device electronic warfare (CREW). He became the founding leader of NSWC-Crane’s Electronic Warfare Advanced Concepts Group in 2017. In this capacity he has worked extensively on data labeling, algorithm evaluation, and demonstration planning for the DARPA Radio Frequency Machine Learning Systems (RFMLS) program and will be the Co-PI of the ONR SLQ-32 Signal Identification Improvement (SI2) Future Naval Capability (FNC) which plans to incorporate Machine Learning technology into the SLQ-32 processing system. He has also investigated ways to use EW systems cooperatively to provide additional situational awareness to warfighters through several ONR and DARPA led programs.