Patrick Vossler

Patrick Vossler

I am a statistician at UCSF working in Jean Feng’s lab and a member of the PROSPECT lab.

Previously, I was a postdoctoral researcher at the Regulation, Evaluation, and Governance Lab at Stanford Law School working on tax policy and algorithmic fairness.

I received my Ph.D. in Statistics from the University of Southern California’s Marshall School of Business department of Data Sciences and Operations where I was advised by Profs. Yingying Fan and Jinchi Lv.

litr: Writing R packages via literate programming

An R package that generates an entire R package in a single R markdown file. The R package is created when you knit the Rmd file. For larger packages, you can write a bookdown that defines the package.

Jacob Bien and Patrick Vossler

odtlearn: A Python package for tree-based statistical estimation and inference using optimal decision trees.

A Python package for learning optimal decision trees for classification and prescriptive problems.

Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos