Kristopher Darnell is a Staff Data Scientist with a Ph.D. in Geophysics and a decade of experience applying advanced ML and geospatial methods to exploration and production problems. Based in Bend, Oregon, he leads cross-disciplinary teams at KoBold Metals to turn sparse, proxy-rich datasets into first-principles drill targets for sediment-hosted copper. He is fluent in the PyData stack and has a track record of building production tools—from automated lithostratigraphic mapping that outperformed industry standards to cloud forecasts of oil and gas volumes that incorporate spatial context and human decisions. His background spans academia and industry, blending PDE-based numerical modeling of subsurface processes with computer vision and TB-scale imagery workflows. Colleagues rely on him for both hands-on coding and for translating novel data science into operational exploration programs.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences, Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences at The University of Texas at Austin
Master of Science (M.S.), Geophysical Sciences, Master of Science (M.S.), Geophysical Sciences at University of Chicago
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