I'm currently a postdoc at Mila, working with Yoshua Bengio on problems related to Humanitarian AI. I completed my PhD in Statistics at Stanford University, advised by Susan Holmes. My thesis was on Discovery and Visualization of Latent Structure with Applications to the Microbiome. I previously worked at Obsidian Security, applying machine learning to problems in cybersecurity. I was a 2016 Data Science for Social Good fellow and helped organize projects with Statistics for Social Good and DataKind SF.

I spend most of my time learning how to better explore, model, and learn from data. I think that sharing reproducible workflows and accessible distillations is as important as making discoveries and proposing algorithms. My ideal statistician is an insightful scientist, as well as a skilled technician. I occasionally post notes to my blog. Many of my projects are public on github.