Kevin Menear is a Graduate Researcher II at the National Renewable Energy Laboratory, focusing on data analysis and visualization within the Data, Analysis, and Visualization Group. With prior experience as a Graduate Researcher in Machine Learning, Kevin developed a CFD-emulating ML surrogate model for sulfur thermal energy storage systems, utilizing a hybrid approach to enforce thermodynamic constraints. Kevin has a strong educational foundation, pursuing a Master of Science in Computer Science at the Georgia Institute of Technology, following a Bachelor of Science in Mechanical Engineering from Rensselaer Polytechnic Institute. Teaching roles include Secondary Computer Science, Robotics, and Engineering at Calvary Christian Academy, and prior positions as a Graduate Student Researcher and Secondary Mathematics and General Education Teacher. Additional experience includes research internships at Rensselaer Polytechnic Institute, Jet Propulsion Laboratory, and General Electric, where Kevin contributed to projects involving multibody dynamics, dynamic systems modeling, and materials engineering.