Leading my company’s efforts to innovate solutions to complex systems challenges through the use of network optimization and geospatial analytics. My current work involves the use of AI and quantum algorithms with a focus on advancing clean energy, carbon management, and ecosystem restoration efforts. Continuing commercial innovation work as part of our business development efforts.

• Developed systems for commercial innovation challenges in science and sustainability and longer projects that followed. • Ranked in the top 5 of 500,000+ solvers on InnoCentive (now Wazoku) for challenges won in two separate years. • Provided consulting services as a systems integrator within geospatial big data architecture and engineering involving cloud AI-based object detection from drone imagery.• Developed and open-sourced a small-scale carbon capture and mineralization system.

Formerly DigitalGlobe.• Delivered a project under schedule and under budget by originating software to analyze 250,000 sq km of imagery for a client using 20 machines running Hadoop. • Created an algorithm to extract building heights throughout an entire continent from 3D terrain models for a mapping company. • Worked with teams of engineers, product development personnel, and sales staff to port an algorithm into our Geospatial Big Data cloud environment where it could run at scale.• Processed and analyzed multi-terabyte datasets within a multi-petabyte image archive; produced mosaics totaling 1M square kilometers. Applied machine learning algorithms for land cover classification and image mining.

• Provided technical support to the U.S. Environmental Protection Agency’s Climate Change Division (CCD) under the Greenhouse Gas Reporting Program (GHGRP). • Performed activities aimed at improving the electronic Greenhouse Gas Reporting Tool (e-GGRT) as well as developing new software tools and databases to verify extensive multi-year data from over 10,000 facilities. • Spearheaded the development of a custom VBA software application that automated the process for finding patterns in reported GHG emissions• Explored new tools and techniques involving big data management. Set up a Hadoop system and worked on the development of geospatial classification/clustering algorithms.

• Spent 3 years performing geographic information systems (GIS)-based research: 2 years using ESRI ArcGIS to manage and analyze vegetation data from field studies to validate a biome model predicting climate change-driven plant redistributions and 1 year managing and analyzing data for a NASA-funded project on factors affecting plant species diversity in a tri-state area. • Over 5 months, used research and scientific literature to develop written input for the US Forest Service’s management plan for the Uwharrie National Forest, also presenting findings in person. Performed land use/land cover change (LULC) and climate change analyses using Landsat imagery. • Over another 5 months, analyzed environmental scenarios and made practice recommendations to managers concerning necessary actions. Also submitted a successful preproposal to the National Institute of Climate Change Research.