Kenton McHenry received a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2008 after completing a B.S. in Computer Science from California State University of San Bernardino. Kenton's background is in computer vision and artificial intelligence having done work in the areas of image segmentation, object/material recognition, and 3D reconstruction. He is currently a Senior Research Scientist at the National Center for Supercomputing Applications (NCSA) where he serves as Deputy Director for the Scientific Software and Applications division, co-leads Innovative Software and Data Analysis group (ISDA), and holds an Adjunct Assistant Professor position in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Kenton has applied his experience in computer vision, AI, and machine learning towards research and development in software cyberinfrastructure for digital preservation, auto-curation, and the providing of access to contents in large unstructured digital collections (e.g. image collections). Kenton serves as PI/Co-PI on a number of awards from a variety of agencies/organizations ranging from NSF, NIH, NEH, and private sector partners. Kenton currently serves as the Project Director and PI of NSF CIF21 DIBBs - Brown Dog where his team works on means of making data agnostic to the file formats in which they are stored and providing general purpose easy to use tools to access uncurated collections by the automatic extraction of metadata and signatures from raw file contents.