Kantor was educated in Physics and Mathematics at Columbia University,[1] where he took courses taught by Samuel Eilenberg, Tsung-Dao Lee, Jack Steinberger, Charles Townes, Polykarp Kusch and Melvin Schwartz.
He earned a Ph.D. degree in theoretical physics at Princeton University, working with Sam Treiman.
Since the 9/11 attacks he has worked in several areas related to Homeland and National Security, dealing with optimal detection of threats and allocation of resources.
While this research continues, he is currently investigating the relationships between human and machine learning, as a collaborator in several projects.
at Rutgers, and an Honorary Associate of the Department of Industrial and Systems Engineering at the University of Wisconsin, Madison,[4] where he is involved in research addressing the similarities and differences between human learning and machine learning.