• Teaching Assistant, Iowa State University (2011-2015)
• M.S. in Statistics, Iowa State University (2013)
• Internships with AT&T (2013) and Google (2014)
• Software Developer, plotly (2015 - Present)
• Research Assistant, Monash University (Sept 2015 - June 2016)

Freelance software developer & data scientist

• My clients already include: plotly, NOAA
• In addition to developing plotly, I plan on delivering "data products" (e.g. interactive web apps, dynamic reports/documents, etc.)
• Businesses already building products around plotly: Omni Analytics, TCBD Analytics

• Taming PITCHf/x Data with XML2R and pitchRx
• LDAvis: A method for visualizing and interpreting topics
• Extending ggplot2’s grammar of graphics implementation for linked and dynamic graphics on the web
• Interactive data visualization on the web using R
• plotly for R
  • Multiple linked views
    • Linking views with shiny
    • Linking views without shiny

"Multiple linked views are the optimal framework for posing queries about data" (Cook, Buja, & Swayne 1996)

• Web applications are generally more complicated, less responsive, and difficult to share.

• First described in detail by Buja, McDonald, Michalak, and Stuetzle 1991.
• Compared to other linking frameworks by Cook, Buja, & Swayne 1996.
• Snap-together visualizations (on Windows) North and Shneiderman 1999.
• crosstalk (Cheng et al. 2016) proposes similar standards for linking web graphics from R.