Software, tools, and visualizations I’ve made

Below is an itemization of my key works – software packages, web tools, and blog posts. The underlying technologies run the gamut of R, Python, D3.js, MapBox, and Shiny.

Software and packages

Description	Link	Repo
Federally funded project to make machine learning methods for causal inference more accessible
R package for causal inference diagnostics and plotting
R package for EDA and unsupervised learning of sequences
R package for easily retrieving daily weather data

Web tools and visualizations

Description	Tech	Link	Repo
Interactive visualization of time-use sequence data
Economic and social shifts during 2020
Map of decline in NYC subway ridership
Scrollytell explaining potential outcomes causal inference concepts
Difference in television watching habits by sex and age
Flight paths of the top airline carriers projected onto a world map
Mutable histogram demonstrating simple interactivity
Pedagogical tool for learning causal inference
Pedagogical tool for randomized control trials
Map of current and predicted Citi Bike availability
Estimate the probability you'll find a false positive during your A/B testing
Illustrating the similarity of two meals via word vectors
A simple Godot platformer game playable on desktop browser

Writing and research

Description	Link	Repo
Working paper: Who's Minding the Children?
Paper: Measuring Anti-LGBTQ+ Language on Twitter
Paper: To the Moon 🚀🌙: Discourse on r/wallstreetbets
Book chapter: Spending to and through retirement

Static visualizations