Jason’s true passion is turning data into information to optimize the decision-making process. Using state of the art technology in ML/AI, his teams optimize the decision-making process beyond what the human mind can attain. Previously, Jason lead the algorithm team of a successful software startup in the Supply Chain Optimization domain resulting in a $1.5B evaluation. He is currently the SVP of Engineering and Innovations Lab Lead at Optilogic (and Chief Tinkerer at home). Jason holds a PhD and Master’s degree from Virginia Tech in Operations Research and two Undergraduate degrees in Mathematics and Economics from Southern Utah University.
Jason is an experienced Supply Chain optimization leader, deep in the field of OR, ML and AI. Driven by innovation and impact, he takes pride in providing the most optimal solution while keeping it simple. As an innovator, his goals include mentoring the next generation of people, tools, and technologies to disrupt the industry.
In addition to his primary job functions, Jason is a technical hobbyist who recently sent two high-altitude balloons to near-space with a successful recovery of the photos and gear, while enjoying 3D printing, rockets, planes, drones, and automobiles.