Summary
Christopher Garcia is a director and quantitative methods professor with 11+ years bridging academia and industry in combinatorial optimization, supply chain logistics, and data-driven decision support. He leads accreditation and graduate programs at the University of Mary Washington while advising the MBA and founding Polyad Decision Sciences to deliver practical optimization and machine learning solutions. His background spans hands-on software engineering and senior data science roles, giving him rare fluency from algorithm design (routing, scheduling, configuration) to cloud-enabled decision platforms. Christopher holds a PhD in Engineering Management and an MS in Operations Research, and he frequently translates theoretical methods into deployable tools for transportation and logistics challenges. Notably, he balances institutional leadership with entrepreneurial consulting, maintaining active engagement in curriculum, program quality, and applied analytics projects.
11 years of coding experience
22 years of employment as a software developer
M.S. Operations Research, M.S. Operations Research at Florida Institute of Technology
Ph.D. Engineering Management, Ph.D. Engineering Management at Old Dominion University