Data science, statistical modeling, machine learning, mathematical physics
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Michele Joyner applies data science, statistics, and mathematical modeling to reveal structure in complex datasets. Work develops data‑driven geometric and spatiotemporal frameworks, combining machine learning with probability for rigorous inference and cross‑system comparison.
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