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
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 |
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 |
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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