Jared Kirschner : Engineer

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  • Work Experience
    • LabVIEW Student Ambassador for National Instruments
    • Electrical and Computer Engineer at Lit Motors
    • Digital Signal Processing Course Assistant at Olin College
    • Motion Control Engineer at National Instruments
    • Educational Research Statistician at Olin College
    • Bioinformatician at TGen
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    • Embedded Systems
    • Mechatonics, Robotics, and Controls
    • Software Development
    • Electrical Engineering
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Bioinformatics Intern, TGen (Summer 2010)

Proteomics research is a highly data intensive process. By improving the available tools for visualization and data processing, analysis will be made faster and more reliable. Improving a piece of software requires an understanding of what the user is trying to accomplish and how well the software matches his/her needs. The existing software, an open-source project called Inferno, needed better visualization tools and to incorporate meta-analysis functionality.

Working within Inferno, written in the R programming language, I rewrote the visualization tools using a package called ggplot2. Meta-analysis functionality was added by using open-source packages and databases managed by the bioinformatics community. This functionality automated tedious post-analysis searches within the Inferno analysis environment.

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