Ben Thompson is a machine learning engineer and researcher with 13 years of experience building high-performance predictive systems, from GPU-accelerated earthquake simulators in academia to production demand-forecasting pipelines serving $4B in revenue. Currently a Member of the Technical Staff at Anthropic, he previously co-founded a data-focused startup and led ML engineering at QuantCo, where he cut model training time from a week to two hours with a novel early-stopping technique. His background includes a Harvard PhD in Earth Sciences and hands-on numerical methods and Bayesian tools applied to FDA trial design and tsunami simulation, reflecting unusual depth across physical modeling and scalable ML. Based in Boulder, Colorado, he combines research rigor with product-driven engineering and a track record of turning complex numerical problems into robust, production software.
13 years of coding experience
13 years of employment as a software developer
BS, Earth, Atmospheric and Planetary Sciences, BS, Earth, Atmospheric and Planetary Sciences at Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D.), Geological and Earth Sciences/Geosciences, Doctor of Philosophy (Ph.D.), Geological and Earth Sciences/Geosciences at Harvard University
MATLAB and Python wrappers of the Okada Green's functions.
Contributions:69 commits, 2 PRs, 21 pushes in 7 years 5 months
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Ben Thompson - Member Of The Technical Staff at Anthropic