As Director of the USGS EROS Center, Pete leads operations and innovation for a high-tech workforce that spans Landsat satellite operations, large-scale data center management, geospatial data product generation, and new data acquisition strategies. Pete began his career in Geoinformatics in 1990, which has included positions with industry and the federal government. These experiences have provided him with an appreciation for agile methods to achieve process efficiencies. Pete has conducted and managed research & development spanning artificial intelligence (AI), remote sensing, computer vision, and geospatial data analytics. He is a leading proponent for advancing IT services by accelerating the deployment of modern AI tools across a wide range of applications. His vision is to advance the use of Transformer-based AI methods to integrate multimodal data for enhanced inferencing. For example, blending data acquired from a variety of government and commercial platforms offers significant potential to improve characterization and forecasting of natural resource inventories that are critical to national security. Pete holds a Ph.D. in Spatial Information Engineering & Science, a M.S. in Civil Engineering, and a B.S. in Engineering Physics.