I work at the intersection of design, engineering, and data science to expose meaningful patterns in data. I release software that facilitates data analysis, work collaboratively to create visualizations, and also teach these skills in University and professional environments. I'm drawn towards projects about social issues, and have an extensive background in public health.
Broadly, here's what I've been up to:
Software Engineering
I have five years of experience making software that people use to summarize, transform, and explore their data. Some examples:
Summer.io
Open-sourced a chart building JavaScript package optimized for working with DuckDB Databases.
duckplot.com →
Observable
Designed and built highly interactive visual summaries for displaying tabular data in analytics notebooks.
See it in the docs →
Data Visualization
In addition to building software that facilitates data exploration, I specialize in creating detailed and custom visualizations that reveal meaningful patterns in large datasets.
Tracing the flow of billions of dollars in Global Health, from sources, through intermediaries, to different causes.
Explore the interactive →A series exploring a year's worth of hourly electricity demand data.
Open the notebook →
Visual Explanations
I've built interactive explanations of statistical and machine learning concepts that have been used in my classroom and by hundreds of thousands of other people. See this talk for more details.
Teaching
I spent six years as an Associate Teaching Professor at the University of Washington Information School where I taught Informatics students how to write code to work with data. I also received a Fulbright scholarship to teach in Madrid and collaborate on cancer research. I've taught dozens of workshops both at conferences and for private companies. Here are some of the resources I've built.
Teaches the foundational skills necessary for writing code to work with data (focused on the R programming language).
A video course teaching how to leverage a story's structure to share complex visualizations to a variety of audiences.
Covers the modern tools and techniques for web development. From the basics of HTML and CSS, to building React apps.
Teaches the skills for building interactive graphics on the web, with a focus on using D3.js.
"Intro to intro to data science" — teaches how to write code to ask questions of data (mostly the R programming language)
Art
While I prioritize interpretability in data visualization, I also enjoy exploring the purely aesthetic and creative side of software and data. Here are some things I've made that I think are beautiful.
