Hi there! I'm Brandon, a statistician turned machine learning practitioner and tools developer. I bridge the gap between theoretical statistical foundations and scalable, production-grade AI. Currently a part of the AI Enablement team at 84.51° (Kroger's data science arm) and teaching graduate-level stats and analytics.
When I'm not training models or teaching, I'm building high-performance developer tooling in Rust and Go, or writing and maintaining statistical packages in R.
- Work: Designing enterprise-grade foundational AI/ML tooling, libraries, and patterns for the Kroger ecosystem.
- Books: Author of Hands-On Machine Learning with R and Tree-Based Methods for Statistical Learning in R.
- Open source: Active maintainer and contributor to highly-cited R packages (e.g.,
fastshap,pdp,vip) and modern CLI/terminal utilities in Rust and Go.
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
Director of Data Science @ 84.51°
- Tech lead on the AI Enablement team, building foundational ML tooling and reusable patterns across the Kroger enterprise.
Adjunct Instructor @ University of Cincinnati (2022 - Present)
- Department of OBAIS — teaching graduate-level statistical modeling, business analytics, and programming with AI courses.
Adjunct Instructor @ Wright State University (2017 - 2022)
- Taught graduate-level Biostatistics and Environmental Statistics courses.
- Ph.D. in Applied Mathematics — Air Force Institute of Technology (2014)
- Dissertation: Topics in Statistical Calibration | GPA: 4.0
- M.S. in Applied Statistics — Wright State University (2011) | GPA: 4.0
- B.S. in Statistics — Wright State University (2009)
- Accredited Graduate Statistician (GStat) — American Statistical Association (2014)
