I am an assistant professor at University of Michigan’s Department of Biostatistics.

My work focuses on improving healthcare through:
• developing statistical methods with emphasis on predictive modeling and interpretability,
• creating well-documented, user-friendly software, and
• teaching statistics for biomedical applications in a friendly, accessible way.

I earned a PhD in Biomedical Data Science from Stanford, where I was advised by Rob Tibshirani. I also hold a BA in Mathematics and an MS in Data Science from New College of Florida, where I was advised by Pat McDonald and Gary Kalmanovich.

Before my PhD, I led the math content team at Wolfram|Alpha. Notably, we developed Step-by-step Solutions and the Wolfram Problem Generator.

Find my CV here.