Main
Katherine Goode
Statistician
My research focuses on the explainability and interpretability of machine learning models. Other research interests include model assessment, data visualization, and random forest models. My full CV is available here.
Education
Iowa State University
Ph.D in Statistics Ames, IowaUniversity of Wisconsin, Madison
M.S. in Statistics Madison, WisconsinLawrence University
B.A. in mathematics Appleton, WisconsinExperience
Senior Member of Technical Staff
Statistical Sciences, Sandia National Laboratories Albuquerque, NMResearch and development of statistical methods in application areas including climate and cyber security
Postdoctoral Researcher
Statistical Sciences, Sandia National Laboratories Albuquerque, NMResearched use of elastic shape analysis with inverse models for functional data using and developed feature importance technique for echo state networks applied to climate data
Research and Development Intern
Statistical Sciences, Sandia National Laboratories Albuquerque, NMDeveloped explainable machine learning pipeline for functional data Presented on work at internal and external events
Graduate Research Assisstant
Natural Resource Ecology and Management, ISU Ames, IowaDeveloped R Shiny application to predict taxonomy of fish eggs using random forests (2021) and assisted with analysis of toxicology study of monarch butterfly larvae exposed to insecticides (2019)
Statistical Consultant
Agriculture Experiment Station, ISU Ames, IowaProvided statistical support on research projects for graduate students, professors, and staff across university departments
Software
listenr
R package github.com/sandialabs/listenrEcho state networks with spatio-temporal feature importance
veesa
R package github.com/sandialabs/veesaExplainable machine learning with functional data
TreeTracer
R package github.com/goodekat/TreeTracer/Trace plots using ggplot2.
limeaid
R package github.com/goodekat/limeaidDiagnose LIME explanations.
redres
R package github.com/goodekat/redres.gitResiduals and diagnostic plots for mixed models.
ggResidpanel
R package CRAN.R-project.org/package=ggResidpanelPanels and interactive versions of diagnostic plots using ggplot2.