David StorkVisiting Lecturerat Stanford University
Dr. David G. Stork is a graduate in Physics from MIT and the University of Maryland, College Park; he also studied Art History at Wellesley College. Stork is widely acknowledged as a pioneer in the application of sophisticated computer vision, machine learning, and artificial intelligence to problems in the history and interpretation of fine art paintings and drawings. He co-founded the world's first conference in the field (now called "Computer Vision and Analysis of Art," CVAA), taught the world's first university courses on the subject (at Stanford University), and has lectured internationally at major universities, conferences, and museums such as the Louvre, National Gallery London, National Gallery Washington, Boston Museum of Fine Arts, Metropolitan Museum of Art, Museum of Modern Art, Frick Collection, Art Institute of Chicago, deYoung Museum, Los Angeles County Museum of Art, Getty Research Institute, Mauritshuis, Royal Museums of Fine Arts Brussels, van Gogh Museum, Courtauld Institute, and others. He will deliver an invited lecture at the Rijksmuseum to the Vermeer Symposium in March 2023. His eight book, Pixels & paintings: Foundations of computer-assisted connoisseurship will be released by Wiley in June 2023. His other books include Pattern classification (2nd ed.) by Duda, Hart, and Stork (Wiley), Seeing the light: Optics in nature, photography, color, vision, and holography (Echo Point Press), and HAL's Legacy: 2001's computer as dream and reality (MIT Press). He currently teaches several courses at Stanford, including "Computer vision and analysis of art," "Science, Technology, Art," and "Computational Symbolic Mathematics." He has published over 220 peer-reviewed journal and conference papers and holds 64 US patents. He is a Fellow of IEEE, OSA, IS&T, SPIE, IAPR, IARIA, and AAIA, and is a Senior Life Member of ACM. He won the 2011 C. P. Snow Award for his scholarship bridging the "two worlds" of science and the arts, and was just one of six scientists chosen from 1200 scientist and artist applicants as a 2023 Leonardo@Djerassi Fellowship.