Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Dr. Mike Kirby

Dr. Mike Kirby - Professor

Professor of Computing
Adjunct Professor of Mathematics
Adjunct Professor of Bioengineering
WEB 3602
phone (801) 585-3421
fax (801) 581-5843
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Personal Home Page
My SCI Publications


Dr. Mike Kirby received his B.Sc. in Applied Mathematics and Computer and Information Sciences from The Florida State University in 1997. He received his M.Sc. in Applied Mathematics from Brown University in 1999 and received a M.Sc. in Computer Science from Brown University in 2001. In August 2002 he completed his Ph.D. in Applied Mathematics at Brown University.

Dr. Kirby has been with the university since 2002, moving up the ranks from assistant professor to associate professor in 2008 to full professor in 2014 within the School of Computing. He currently is the Acting Director of the Scientific Computing and Imaging (SCI) Institute and the founding Executive Director of the Utah Informatics Initiative (UI2). He also currently serves as the Director and Program Manager of the Army Research Laboratory (ARL) Multi-Scale Multidisciplinary Modeling of Electronic Materials (MSME) Collaborative Research Alliance (CRA) which is led out of Utah. His research interests include scientific and data computing, visualization, uncertainty quantification, high-performance computing and computational engineering and science applications.

Co-author of Parallel Scientific Computing in C++ and MPI : A Seamless Approach to Parallel Algorithms and their Implementation

Research Interests

  • Computational Science and Engineering
  • Concurrent Programming
  • Scientific Visualization
  • Interdisciplinary Collaboration across Computer Science, Engineering, and Applied Math
  • Computational Steering
  • High Performance Computing