Advancing multi- and hyperspectral analytics for defense applications through the development and application of modern AI/ML techniques, including deep learning. Recent work focuses on target detection and classification, developing a new spectral library format supporting deep learning and a Python toolkit supporting it, and a toolkit for large-scale data quality assessment and monitoring.

Manage Image Science, Intel & Analysis, and Software teams focused on creating highest quality data products, automated means of extracting information from the data, and developing tactics, techniques, and procedures (TTPs) for the end user to derive the most benefit from our sensors.

Worked in the Professional Services Group providing multispectral and hyperspectral image processing and exploitation subject matter expertise, training class development, and tool development for government customers. Spent over five years on-site at the National Ground Intelligence Center (NGIC) supporting the Ground Spectral Intelligence Center (GSIC) as a tool developer and interim lead scientist. Tools developed at NGIC include SPEAR and THOR (now both part of core ENVI package) as well as numerous classified ENVI plug-ins for multi-INT data fusion, data visualization, and non-literal spectral exploitation. General theme was developing tools that brought powerful but complex processing and exploitation methodologies into the hands of non-subject matter experts.