Kevin Griffin

Kevin Griffin is a Researcher III in Computational Science at the National Renewable Energy Laboratory (NREL). His work focuses on integrating advanced computational techniques with energy systems research.

• Bachelor of Mechanical and Aerospace Engineering, Princeton University
• PhD in Mechanical Engineering, Stanford University
• Master of Mechanical Engineering, Stanford University

Griffin's primary research interests include multi-fidelity simulation, neuromorphic computing, and energy-efficient computing. He specializes in computational fluid dynamics and turbulence modeling for energy applications, particularly wind energy systems.

His recent publications emphasize adaptive computing frameworks for scale-up problems, pressure-gradient sensors for turbulence prediction, and boundary layer modeling extensions. These works span computational methods, uncertainty management, and energy systems design.

• Gerald J. Lieberman Fellowship (2022)
• National Defense Science and Engineering Graduate Fellowship (2017)
• NREL Key Contributor Award (2023)
• NREL Outstanding Mentor Award (2024)
• Stanford Graduate Fellowship (2017)

Griffin contributes to collaborative networks like the American Physical Society, Sigma Xi, and Tau Beta Pi, advancing turbulence modeling and computational efficiency in energy applications.