I am a data scientist working as an independent consultant, a consultant with Preva Group, and a (remote) adjunct assistant professor at Purdue University.

In my work and research I focus on tools, methodology, and applications in exploratory analysis, visualization, computational statistics, statistical model building, and machine learning on large, complex datasets.

Prior to consulting, I was at PNNL, working on applications in the fields of cyber security, power systems engineering, nuclear forensics, high energy physics, and biological sciences.

I’m active in the data science open source community, mainly working on projects in R and JavaScript.

Selected R packages (see GitHub for more).

For TrelliscopeJS and GeoVis, I have written corresponding JavaScript libraries, using React, for which the R package serves as an interface. The projects for these can be found here and here.

Aside from building tools for data analysis, I spend a significant amount of time analyzing data. I gained a lot of experience analyzing large complex datasets during my graduate studies at Purdue with Bill Cleveland and while a research scientist at PNNL. I have been working as an independent consultant since 2014.

As a consultant, I have worked on two DARPA programs, XDATA and D3M, building open source tools for analyzing and visualizing big data, tools for helping domain experts build models, as well as using the tools to analyze interesting datasets such as the Bitcoin blockchain and high frequency trading data. I work with a large philanthropic foundation, applying visualization, exploratory analysis, and collaborative tool development in the field of global health.