Stork received his BS in Physics from the Massachusetts Institute of Technology with a thesis under the direction of Dr. Edwin H. Land, President and CEO of the Polaroid Corporation, and his MS and PhD in Physics from the University of Maryland, College Park with a thesis under the direction of David S. Falk.

Stork has held full-time and visiting faculty positions in Physics, Mathematics, Computer Science, Electrical Engineering, Statistics, Neuroscience, Psychology, Materials Science and Engineering, Informatics, Computational and Mathematical Engineering, Symbolic Systems, Artificial Intelligence, and Art and Art History variously at Wellesley and Swarthmore Colleges and Clark, Boston, and Stanford Universities, the University College London, and the Technical University of Vienna.

He has served on Advisory Boards of the startup companies, NeuralWare, Neural Applications Corporation, and Metalenz.

Stork is widely considered a founding pioneer in the application of rigorous computer vision, machine learning, and artificial intelligence to problems in the history and interpretation of fine art paintings and drawings[citation needed].

He published several of the first scholarly works in the field, offered its first courses (at Stanford University), co-founded its first conference, now called Computer Vision and Analysis of Art (CVAA),[1] and published the first textbook pertaining to the field, Pixels & paintings:  Foundations of computer-assisted connoisseurship (Wiley).