Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
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.
dongbinDongbin Xiu has joined the University of Utah's Scientific Computing and Imaging (SCI) Institute as a Professor of Mathematics. The SCI Institute focuses on solving important problems in biomedicine, science, and engineering using computation and is an international research leader in the areas of scientific computing, visualization, and image analysis.

Dongbin is one of the most recognized names and highly cited researchers in the area of uncertainty quantification and is the founding Associate Editor for the International Journal for Uncertainty Quantification. Dongbin received his Ph.D degree from the Division of Applied Mathematics at Brown University in 2004 and conducted post doctoral studies at Los Alamos National Laboratory, Princeton University, and Brown University. In the fall of 2005 Dongbin joined the Department of Mathematics at Purdue University, where he was promoted to the rank of Professor in 2012.

Dongbin's research focuses on developing efficient numerical algorithms for stochastic computations and uncertainty quantification. He is on the editorial boards of several journals, including Applied Numerical Mathematics, SIAM Review and SIAM Journal on Scientific Computing, and Dongbin is an active member of SIAM and received an NSF CAREER award in 2007 as well as numerous teaching awards while at Purdue. His research is funded by AFOSR, DOE, NNSA, and NSF.

For more information, contact:
Chris Johnson, Ph.D.
Scientific Computing and Imaging Institute
University of Utah
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(801) 581-7705