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bgreenwell/README.md

Brandon M. Greenwell, PhD

Director, Data Science @ 84.51° · Adjunct @ University of Cincinnati

Statistician by training, ML practitioner and tools developer by trade. I build practical software at the intersection of statistical rigor, responsible AI, and developer experience, and teach graduate-level statistics, business analytics, and AI-assisted programming.

Google Scholar · LinkedIn · Website & CV


Books

Cover of Hands-On Machine Learning with R
Hands-On Machine Learning with R
Co-authored with Brad Boehmke · 2019

A practical, end-to-end guide to building, evaluating, and interpreting machine-learning models in R.

Publisher · Companion site
Cover of Tree-Based Methods for Statistical Learning in R
Tree-Based Methods for Statistical Learning in R
Author · 2022

A ground-up treatment of decision trees, random forests, and boosting, with code-based examples in R.

Publisher · Companion site

Featured open-source projects

doxx — Inspect .docx files without leaving the terminal.
GitHub stars for doxx
lstr — A fast, minimalist directory-tree viewer.
GitHub stars for lstr
xleak — Explore Excel files in a fast terminal UI.
GitHub stars for xleak
git-ego — Switch Git identities safely across repositories.
GitHub stars for git-ego
fastshap — Fast approximate Shapley values for R.
GitHub stars for fastshap
vip — Variable-importance plots for machine-learning models.
GitHub stars for vip
pdp — Partial dependence plots for machine-learning models.
GitHub stars for pdp
statlingo — Explain statistical output with large language models.
GitHub stars for statlingo

More developer tools: jotdown-rs — private-by-default, git-friendly command-line notes.

More statistical and ML software: sure · investr · ebm


Education: Ph.D., Applied Mathematics — Air Force Institute of Technology · M.S., Applied Statistics — Wright State University · B.S., Statistics — Wright State University

Dissertation: Topics in Statistical Calibration · 2014

Pinned Loading

  1. investr investr Public

    Inverse estimation in R

    R 25 6

  2. pdp pdp Public

    A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

    R 99 13

  3. vip vip Public

    Variable Importance Plots (VIPs)

    R 190 23

  4. fastshap fastshap Public

    Fast approximate Shapley values in R

    R 137 17

  5. lstr lstr Public

    A fast, minimalist directory tree viewer, written in Rust.

    Rust 1.5k 32

  6. doxx doxx Public

    Expose the contents of .docx files without leaving your terminal. Fast, safe, and smart — no Office required!

    Rust 3.7k 92