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JavaScript for Shiny Users
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Nicholas Strayer

Ph.D. Candidate, Biostatistics

Vanderbilt University

I have been extremely lucky to work in many different realms, including as a Journalist at the New York Times, data scientist at the Johns Hopkins Data Science Lab and Dealer.com in Vermont, and “data artist in residence” at startup Conduce in California.

Currently, I am a PhD candidate in biostatistics at Vanderbilt University. I received my undergraduate degree from the University of Vermont where I majored in mathematics and statistics and minored in computer science.

My research focuses on unsupervized and semi-supervized methods for exploring large omics datasets, with a heavy focus on visualization.

I like data. Manipulating it, modeling it, making it (simulation), visualizing it and yes, even cleaning it. I do these things with some combination of R, Python, and Javascript (d3.js in particular). Most recently I have been fascinated with conveying complex statistical topics and methods using intuitive and interactive graphics.

Interests

  • Photography
  • Science fiction
  • Programming language paradigms
  • Exploring gardens and museums

Projects

  • shinysense

    https://github.com/nstrayer/shinysense

  • LiveFreeOrDichotomize

    https://livefreeordichotomize.com/

  • sbmR

    https://github.com/tbilab/sbmR

  • Data Visualization Best Practices in R

    https://www.datacamp.com/courses/visualization-best-practices-in-r

LICENSE: CC-BY

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