Xiaoye (Michael) completed his PhD in Psychology and Cognitive Science at Indiana University, IN, USA. His graduate research primarily focuses on 3D shape perception mediated by various types of visual information, such as stereomotion and monocular structure-from-motion. Many previous research has showed inaccuracies in perceiving the depth dimension of a 3D object. Michael’s research aims to identify ways through which one can obtain veridical 3D shapes through large continuous perspective change and build a computational model to account for such phenomena. Michael is also interested in event and scene identification using optic flow, and the dynamics of reaches-to-grasp.