subsampwinner
Feature selection tooling built around the Subsampling Winner Algorithm, with an emphasis on stability under repeated resampling.
feature selectionR packagestatistical learning
Selected work
A curated set of public-facing projects and materials. The emphasis here is not breadth for its own sake, but artifacts that say something concrete about how I work.
Feature selection tooling built around the Subsampling Winner Algorithm, with an emphasis on stability under repeated resampling.
A compact walkthrough of data preprocessing decisions for heart-transplant studies, focused on cohort construction and modeling-ready tables.
A public repository for reading notes, slide materials, and small teaching artifacts across statistics and machine learning.
Open to new collaborations