Christian Minor's current research at MIT Lincoln Laboratory is supporting algorithm development for aircraft collision avoidance systems spanning the range of commercial jet aircraft to UAVs. Prior research efforts as a contractor at the U.S. Naval Research Laboratory focused on the development of novel data analysis and machine learning algorithms for chemical and biological data sets. This work had two main areas of application: developing algorithms to improve the ability of individual instrumentation to detect and discriminate chemicals, and developing new methods for combining instrumentation into multi-sensor systems to meet a variety of Navy sensing needs for chemical and biological detection, surveillance, and damage control. Christian Minor earned his Ph.D in astrophysics from the University of California, Riverside, working first with the Opal collaboration at CERN, and later with the Tigre instrument team at UCR. For his dissertation research, he developed a novel statistical analysis for source separation to look for dark matter signatures in the EGRET high energy gamma ray data set. He earned his B.A. in physics from the University of Minnesota during which time he supported the Soudan 2 proton decay experiment.