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.
Clement Vachet

Clement Vachet - Technical Program Manager

Assistant Director of Technology for BIDAC
WEB 2863
phone (801) 585-1031
fax (801) 585-6513
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advisor Guido Gerig

My Publications

Google Scholar Citations


Clement Vachet received his M.S. degree in Electrical Engineering from CPE-Lyon (France) in 2006, and also holds a research M.S. degree in Image Processing from INSA-Lyon (France). Prior to joining the SCI Institute, Clement was a Faculty Research Instructor at the University of North Carolina at Chapel Hill. As a member of the Neuro Image Research and Analysis Laboratories, he performed research and development applied to various clinical projects.

Current Responsibilities

In his role as Technical Program Manager, Clement manages several NIH-funded research projects w.r.t. technological, methodological, scientific testing and validation aspects. In that regard, he collaborates regularly with researchers and clinicians in multi-disciplinary nation-wide studies, such as the Autism Center of Excellence network.
In his role as Assistant Director of Technology for BIDAC, Clement contributes to the operations and ongoing advancement of this new biomedical center, as well as to the management of several university-wide health science collaborations.
Part of his time is also dedicated to the supervision of international interns and guidance of PhD students in software development and data analysis.

Research Interests

Clement Vachet's main field of research is in medical image processing and analysis. His research and development activities focus mostly on structural and connectivity based analyses, with a particular interest in longitudinal and translational components. Current driving clinical applications include autism spectrum disorder, Down syndrome and obsessive-compulsive disorder.