Medical image computing (MIC) is an interdisciplinary field at the intersection of computer science, information engineering, electrical engineering, physics, mathematics and medicine. This field develops computational and mathematical methods for solving problems pertaining to medical images and their use for biomedical research and clinical care. The main goal of MIC is to extract clinically relevant information or knowledge from medical images. While closely related to the field of medical imaging, MIC focuses on the computational analysis of the images, not their acquisition. Our research focuses on developing computational and informatics methods for integrative analysis of multimodal imaging data, cognitive and other biomarker data, electronic health record data, and rich biological knowledge such as pathways and networks, with applications to complex disorders.