Through my career, I have acquired extensive experience in neuroinformatics, with a focus in the application of deep learning in the domain of neuroimaging. As part of an ongoing project, we have developed a framework using 3-Dimensional Convolutional Neural Networks to classify structural malformations in neonatal MRI. I built and currently administer the research infrastructure in the Pediatric Imaging Research Center at Children’s Hospital of Pittsburgh. In a modern, multi-modal and multi-centered research environment, the efficient use of technology to facilitate and enhance collaboration and data throughput is indispensable. Our infrastructure includes automated de-identification of imaging, real-time MRS quantification, and secure, HIPAA compliant image transfer across multiple institutions. This has helped facilitate several on-going prospective and retrospective research projects involving dozens of investigators. Current efforts are geared towards streamlining the process of large-scale imaging dataset generation within our institution.