Scott Richardson finished his Masters degree in 2007 from the University of Colorado (CU) in Computer Science with an emphasis in Machine Learning. While at CU, he competed in the DARPA Learning Applied to Ground Robotics (LAGR) challenge in which he implemented path-planning algorithms for navigation through unstructured environments. Scott worked for Lockheed Martin as a Research Scientist before joining VSI in 2012, where his focus has been on 3D computer vision and deep neural nets. He has experience developing 3D scene modeling applications and is a member of the VXL developer team. As part of the DARPA Visual Media Reasoning (VMR) program he designed a Factor Graph Toolkit based on the GraphLab graph-parallel processing framework to perform distributed belief propagation. Scott was also the Project Lead on an effort to recover accurate geo-positioning for aerial images with bad or missing metadata. Scott is currently the Principal Investigator for two programs: one in which he developed a flexible and robust framework for generating information-rich metadata across multi-INT data streams for the purpose of detecting emerging threats, and another in which he developed an AI agent to analyze information – extracted from multi-INT data streams – to synthesize vital context for reasoning and decision-making about emerging maritime threats.