Jason D. Lee

Associate Professor of EECS and Statistics at UC Berkeley

Lee helped explain why a simple training method used throughout modern AI can often escape unproductive solutions and continue toward a better result. His theoretical work clarifies why widely used learning techniques succeed in practice despite difficult mathematical landscapes.