Keegan Ruckman

Keegan Ruckman is a Graduate Student Researcher at the University of Missouri College of Engineering, where expertise includes the development of a robotic device for autonomous processing and characterization of Laser-Induced Graphene (LIG), enhanced through machine learning and Bayesian optimization. Previous experience includes a role as a Leadership Team Member with Student Mobilization in the Philippines, focusing on mentorship and character development, as well as a Strategic Planner Intern at Collins Aerospace, where Lean and Six Sigma methodologies were applied to optimize part delivery processes. Keegan also served as a Wheeled Vehicle Mechanic in the Army National Guard, ensuring readiness of military vehicles. Earlier roles included positions as an Undergraduate Research Assistant and Engineer Intern III, contributing to various engineering projects and environments. An education in Mechanical and Aerospace Engineering is being pursued at the University of Missouri-Columbia, complemented by foundational studies at Metropolitan Community College-Longview and Pleasant Hill High School.