Clinton Morris is exploring the intersection of materials design and computational methods. He is researching strategies of integrating machine learning, computational modeling, and physical experiments to expedite the development of novel engineering materials and systems. In particular, his research interests lie in additive manufacturing, multi-scale modeling, materials development, and machine learning. Prior to joining PARC, Clinton completed his dissertation at the University of Texas at Austin where he developed design methodologies to identify and visualize design spaces of complex, hierarchical systems in the presence of uncertainty. This work was applied to identify suitable metamaterial designs which were additively manufactured and evaluated for damping applications. Dr. Morris received his Ph.D. in Mechanical Engineering from the University of Texas at Austin and a B.S. from the University of California at Berkeley in the same discipline.