Ross Kunz
Data Scientist
Idaho Falls, Idaho, United States
Summary
👤
Senior🎓
Top SchoolRoss Kunz is a data scientist and statistician with nine years of experience applying explainable AI and high-dimensional visualization to real-world scientific and policy problems. He blends rigorous statistical training (PhD, Florida State University) with domain work in chemical kinetics, nuclear materials, geology, batteries, and electric vehicles, producing physics-informed ML that stakeholders can trust. At Idaho National Laboratory he led teams building immersive 3D visualizations used by emergency planners and municipalities to simulate responses and inform EV adoption. His career spans industry and academia—including Michelin, SomaLogic, Lockheed Martin, and a recent assistant professorship—giving him a rare mix of operational, research, and applied engineering perspectives. Known for making complex models interpretable, he focuses on fusing machine learning with physical principles to produce actionable insights rather than black-box predictions. Based in Idaho Falls, he brings both deep technical rigor and practical impact to interdisciplinary, safety-sensitive challenges.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Florida State UniversityBachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Idaho State University
Github Skills (10)
mining6
elemental5
estimate5
science4
python4
density-estimation3
machine-learning3
data-mining3
data-science3
materials-informatics2
Programming languages (1)
Github contributions (5)
IdahoLabResearch/tapsap
Sep 2021 - Sep 2022
Contributions:12 commits, 2 PRs, 7 pushes in 1 year 1 month
IdahoLabResearch/HEA_Code
May 2021 - Aug 2021
This code describes the process to estimate material properties using elemental properties and machine learning.
Contributions:2 PRs, 2 pushes in 3 months
elementalpropertiesmachine-learningdensity-estimationestimate
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