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.
 Bo Zhang

Bo Zhang - Postdoctoral

WEB 3760-10
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supervisor Dr. Manish Parashar

Background

Bo Zhang is a Post-Doctoral Research Associate in the Scientific Computing and Imaging (SCI) Institute at The University of Utah. He received his Ph.D. in Computer Science from The University of Utah in 2024, under the supervision of Prof. Manish Parashar. He received his bachelor degree in telecommunication engineering from Beijing University of Posts and Telecommunications in 2018. His research interests include high-performance computing, extreme-scale data management, in-situ processing and scalable deep learning on supercomputers. In the past five years, he mainly worked on the workflow-level I/O abstraction for GPU-dense supercomputers.

Current Responsibilities

Bo primarily works on the GPU extension of DataSpaces project (https://dataspaces.sci.utah.edu/), a data management framework for in-situ scientific workflows at extreme scale. Additionally, as part of the National Data Platform Project (https://nationaldataplatform.org/), he works on the data staging hierarchies and GPU in-situ processing.

Research Interests

  • High-Performance Computing
  • Exascale Data Management
  • In-Situ Processing
  • Scalable Deep Learning on HPC