Dr. David G. Stork is Adjunct Professor at Stanford University, where he performs research and teaches a range of courses, including computer image analysis of fine art paintings and drawings.  He is a graduate in Physics from MIT and the University of Maryland, and studied Art History at Wellesley College.  He has held faculty positions in Physics, Mathematics, Computer Science, Electrical Engineering, Computer and Mathematical Engineering, Statistics, Materials Science, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna.
 
Stork is a pioneer in the application of sophisticated computer image analysis and artificial intelligence to problems in the history and interpretation of fine-art paintings and drawings.  He taught the world’s first courses on the subject (at Stanford), co-founded the world’s frist conference on the subject (Computer vision and analysis of art, CVAA), and has lectured at major museums worldwide, including the Louvre, National Gallery London, National Gallery Washington, Metropolitan Museum of Art, Museum of Modern Art, Art Institute of Chicago, Getty Center, Los Angeles County Museum of Art, Frick Collection, Rijksmusem, Mauritshuis, Courtauld Institute, and many others.  He is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, and AAIA, holds 64 US patents, and has published over 220 peer-reviewed scholarly works and eight books, including Pixels & paintings:  Foundations of computer-assisted connoisseurship (Wiley, September, 2023).