A theoretical physicist by training, Stern did his Ph.D. at The University of Chicago, in the group of Prof. Arvind Murugan. There he investigated mechanical systems like spring networks and self-folding origami as models for novel computation and learning. He is currently a postdoctoral fellow at The University of Pennsylvania, studying various aspects of physical learning algorithms and their implementations as learning machines.