Ronny Luss is a Staff Research Scientist at IBM Research AI. Ronny has worked on projects across a multitude of industries and applications including product recommendations, advertising, insurance, and explainability, among others, and has published articles in various machine learning and optimization journals and conferences. His general interests are in machine learning, optimization, and statistics and he has most recently focused on Explainable AI developing local explainability tools for various modalities and applications including natural language processing, images, and reinforcement learning. Ronny received a Ph.D. in Operations Research from Princeton University, an M.S. in Management Science and Engineering from Stanford University, and a B.S.E. in Computer Science from the University of Pennsylvania. Prior to joining IBM, Ronny held postdoctoral positions at Tel Aviv University, U.C. Berkeley, and Inria-Paris.