May Casterline, Senior Solutions Architect, NVIDIA  Dr. May Casterline is a data scientist/image scientist/software developer with a background in satellite and airborne imaging systems. Her research interests include deep learning, hyperspectral and multispectral imaging, innovative applications of machine learning approaches to remote sensing data, multimodal data fusion, data workflow design, high performance computing applications, and creative software solutions to challenging geospatial problems. She holds a PhD and Bachelors of Science in Imaging Science from Rochester Institute of Technology, with a focus on remote sensing. In industry she has acted as a product owner, technical lead, lead developer, and image scientist on both research initiatives and development projects. As a Senior Solutions Architect at NVIDIA, Dr. Casterline works with both industry and government to help enable developers, engineers, data scientists and analysts integrate artificial intelligence and GPU-accelerated solutions into their workflows and products.

May Casterline, Senior Solutions Architect, NVIDIA

Dr. May Casterline is a data scientist/image scientist/software developer with a background in satellite and airborne imaging systems. Her research interests include deep learning, hyperspectral and multispectral imaging, innovative applications of machine learning approaches to remote sensing data, multimodal data fusion, data workflow design, high performance computing applications, and creative software solutions to challenging geospatial problems. She holds a PhD and Bachelors of Science in Imaging Science from Rochester Institute of Technology, with a focus on remote sensing. In industry she has acted as a product owner, technical lead, lead developer, and image scientist on both research initiatives and development projects. As a Senior Solutions Architect at NVIDIA, Dr. Casterline works with both industry and government to help enable developers, engineers, data scientists and analysts integrate artificial intelligence and GPU-accelerated solutions into their workflows and products.