Hugh Medal is a Senior Research Scientist with 12 years of experience at the intersection of industrial and systems engineering, supply chain resilience, and analytics-driven decision support. He has transitioned from a decade in academia—where he earned a PhD, led funded research with the US Navy, DOE, and ARO, advised multiple PhD graduates, and taught advanced optimization and stochastic programming—to industry research at Amazon. Hugh builds practical tools that translate optimization and ML into operational improvements for spare-parts stocking and freight acceptance, and he has led collaborative software projects on GitHub to productionize research. Known for bridging rigorous theory with applied software development, he combines deep modeling expertise with hands-on mentorship and interdisciplinary collaboration. Based in Knoxville, TN, he retains a strong publication record in top journals while focusing on scalable, impact-driven solutions for critical infrastructure.
11 years of coding experience
17 years of employment as a software developer
Bachelor of Science - BS Industrial Engineering, Bachelor of Science - BS Industrial Engineering at North Dakota State University
Doctor of Philosophy - PhD Industrial Engineering, Doctor of Philosophy - PhD Industrial Engineering at University of Arkansas
SAE system design problem with supply chain optimization
Contributions:78 pushes in 5 months
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