Jeff Swaney is a Managing Data Scientist with 9 years of experience turning complex data into operational insights across healthcare and utilities, and over seven years of hands-on cloud, data engineering, and software development. He designs HIPAA-compliant AWS architectures and production platforms that integrate terabytes of EHR, claims, and sensor data to support research, regulatory-grade analyses, and real-world decisioning. His background as an experimental physicist and PhD candidate in astrophysics informs a rigorous, measurement-driven approach—he’s built GPU-accelerated ML triggers, reduced cloud storage costs by over 80%, and modeled CMOS responses to ionizing radiation. At Exponent he’s led risk-model deployments in production environments and assembled large, messy service-failure databases to influence utility asset strategy and public-safety programs. Colleagues rely on him to bridge academic rigor with pragmatic engineering, delivering secure, scalable systems that make noisy, disparate data useful.
9 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree, Physics, Mathematics, Magna Cum Laude, Highest Honors in Physics, Bachelor’s Degree, Physics, Mathematics, Magna Cum Laude, Highest Honors in Physics at Vanderbilt University
Doctor of Philosophy (Ph.D.), Astrophysics, Doctor of Philosophy (Ph.D.), Astrophysics at University of California, Irvine
Contributions:5 pushes, 1 branch in 3 years 3 months
geant4-simulationsimulationgeant4
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