Scientific Computing and Imaging Institute at the University of Utah

The SCI Institute has established itself as an internationally recognized leader in visualization, scientific computing, and image analysis applied to a broad range of domains. The overarching research objective is to conduct application-driven research in the creation of new scientific computing techniques, tools, and systems. Alongside our research goal is our mission to use our research to educate students and staff. The SCI Institute is proud to have graduated, with an education at the cutting-edge of research, over 400 graduate students and postdoctoral fellows (the Institute has also interned nearly 100 undergraduates). SCI Institute graduates move into faculty positions with universities internationally and also become innovators with companies such as Exxon Mobil, Nvidia, Google, Intel, and Medtronics. SCI Institute researchers also apply many of the above computational techniques within their own particular scientific and engineering subspecialties, such as fluid dynamics, biomechanics, electrophysiology, bioelectric fields, parallel computing, inverse problems, and neuroimaging. A particular hallmark of SCI Institute research is the development of innovative and robust software packages, including the SCIRun scientific problem-solving environment, Seg3D, ImageVis3D, VisTrails, ViSUS, Cleaver, and map3d. All these packages are broadly available to the scientific community under open-source licensing and are supported by web pages, documentation, and user groups. With a focus on national and international collaborations, the SCI Institute either directs or is associated with several national research centers: the NIH Center for Integrative Biomedical Computing (CIBC); the DoE Scalable Data Management, Analysis, and Visualization (SDAV); and the US Army Collaborative Research Alliance (CRA) for Multiscale Research of Materials (EMRM).