Taylor Kilian is a Senior Data Scientist based in Portland with 11 years of experience translating geophysical research into production-grade machine learning solutions. Trained as a geophysicist with a PhD from Yale, Taylor moved from academia—where they modeled Earth’s tectonic history and even forecasted future supercontinents—into industry roles at Moloco and KoBold Metals, applying supervised and unsupervised methods to real-world forecasting and resource discovery problems. They combine deep domain knowledge of geospatial and geophysical data with practical engineering skills developed through a Data Science Immersive and repeated production deployments. Taylor’s work reduces prediction error through creative feature engineering (notably integrating geospatial signals) and bridges research-grade analysis with business decision-making. Their background uniquely positions them to extract high-impact insights from noisy, complex scientific datasets and deliver models that inform strategic outcomes.
11 years of coding experience
5 years of employment as a software developer
Data Science Immersive Bootcamp, Data Science Immersive Bootcamp at General Assembly
Bachelor of Arts (B.A.), Physics and Geology, Bachelor of Arts (B.A.), Physics and Geology at Colby College
Doctor of Philosophy (Ph.D.), Geology and Geophysics, Doctor of Philosophy (Ph.D.), Geology and Geophysics at Yale University
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