SCIENTIFIC COMPUTING AND IMAGING INSTITUTE
at the University of Utah

An internationally recognized leader in visualization, scientific computing, and image analysis

Research in Computational X: SCI research in Computational X focuses on bringing computational thinking using translational, transdisciplinary and co-design approaches to leverage computing and data to address important and challenging problems in science, engineering, medicine, and humanities. Specific examples of X include fluid dynamics, biomechanics, electrophysiology, bioelectric fields, and neuroimaging. Research areas span novel algorithms and methods, large-scale scientific computing and data analytics, and visualization, graphics, and imaging. As with all research at SCI, translation through the development and deployment of innovative and robust software packages is integral to this research.

/Manish%20Parashar
- Computational and Data-Enabled Science and Engineering
- Parallel & Distributed Computing
- Extreme-scale Computing and Data Management
- Autonomic Computing
/Chris%20Johnson
- Inverse Problems
- Computational Electrophysiology
/Rob%20MacLeod
- ECG Imaging
- Cardiac Disease
- Computational Electrophysiology
/Jeff%20Weiss
- Computational Biomechanics
/Orly%20Alter
- Computational Biology
/Tamara%20Bidone
- Computational Models
- Simulations of Biological Systems
- Multi-Physics Models of Cancer Cells
/Amir%20Arzani
- Cardiovascular biomechanics
- Biotransport
- Scientific machine learning