Hans J. Johnson, Ph.D., Associate Professor Electrical and Computer Engineering (Primary), Biomedical Engineering, Psychiatry -- His primary research interest involves accelerating research discovery through the efficient analysis of large scale, heterogeneous, multi-site data collections using modern High Performance Computing (HPC) resources. Specifically, he directs research efforts that deploy software-engineered solutions that harness the power of modern HPC infrastructures (many-core laptops/accelerator cards, distributed storage solutions, centralized data repositories, and large cluster computing resources) so that well established single-user analysis tools can be repurposed and deployed for analysis and knowledge extraction from large data repositories. His current projects are interdisciplinary collaborations that have resulted in many funded grants. These collaborations allow him to be significantly involved in software engineering and informatics projects. His primary contributions to those efforts focus on developing and deploying the tools necessary to monitor, manage, analyze and foster collaborative data sharing for large-scale multi-site projects. His formal training in Biomedical, Electrical and Computer Engineering provide a solid foundation for his academic research objective of accelerating research by employing rigorous software engineering practices and leveraging high performance computing. His efforts have been widely acknowledged as he is the lead developer on 14 projects hosted by the Neuroinformatics Tools and Resources Clearing House, he is the most prolific contributor to the Insight Toolkit v4 package, and President of the Insight Software Consortium. He has also been elected to leadership roles on several international multi-site studies (PREDICT-HD, TRACK-HD, ITK). He is excited by the recent initiatives that that the University of Iowa has undertaken, and believe that the need for strong software engineering and informatics collaborations are necessary for their success. In particular, the Aging Mind and Brain, Genetics, and Water Sustainability cluster hires each have significant needs for managing the complexities of leveraging large data for the generation of new discoveries. The recent investment in HPC resources (Helium/Neon computational clusters, centralized storage solutions, and upgrades to core networking capabilities) provides a modern platform for conducting research. It is incredibly exciting to have skills at the nexus of these two initiatives where I can apply software engineering and informatics technologies to leverage the research infrastructure for solving the complex scientific problems of tomorrow.