Katherine Goode is a research and development statistician at Sandia National Laboratories with nine years of experience bridging statistical theory, explainable machine learning, and applied scientific collaboration. She earned a PhD in Statistics from Iowa State and has a track record of guiding experimental design and data analysis across academia and national lab projects, from toxicity studies to interactive Shiny apps using random forests. At Sandia she focuses on illuminating how ML models make decisions to support research teams, drawing on prior roles as a postdoc, intern, and long-serving statistical consultant. Colleagues rely on her for clear communication of complex analyses and for translating methodological insights into usable tools; outside work she channels analytical curiosity into outdoor adventures and travel.
9 years of coding experience
5 years of employment as a software developer
PhD, Statistics, PhD, Statistics at Iowa State University
Master's Degree, Statistics, Master's Degree, Statistics at University of Wisconsin-Madison
Bachelor of Arts, Mathematics, Bachelor of Arts, Mathematics at Lawrence University
Contributions:158 commits, 220 pushes, 1 branch in 3 years 3 months
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