David G. Stork, PhD, is a graduate in physics from MIT and the University of Maryland, and studied Art History at Wellesley College.  He has held scientific and technical leadership positions in Silicon Valley industry for over three decades, as well as faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna.  He has published over 220 peer-reviewed technical works and eight books, including Seeing the light:  Optics in nature, photography, color, vision, and holography (Echo Point), Pattern classification (2nd ed., Wiley), HAL's legacy:  2001's computer as dream and reality (MIT), and the forthcoming Pixels & paintings:  Foundations of computer-assisted connoisseurship (Wiley).  He holds 64 US patents and is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, and AAIA and a 2023 Leonardo@Djerassi Fellow.  Stork is widely acknowledged as a pioneer in the application of rigorous computer vision, image analysis, machine learning, and artificial intelligence to problems in the history and interpretation of fine-art paintings and drawings.