Andrew Kirby

Andrew Kirby is an Associate Research Scientist at the University of Wyoming's School of Computing. He specializes in scientific computing and high-performance computing, collaborating with institutions like NREL and NASA on wind energy and aerospace projects. His research leverages supercomputers such as Cheyenne and Summit, focusing on numerical methods for CFD and GPU acceleration.

Education

• PhD in Mechanical Engineering, University of Wyoming (2018)
• MS in Applied Mathematics, Columbia University (2013)
• BS in Mathematics, University of Wisconsin-Madison (2011)

Research Interests

His work centers on high-fidelity simulations for wind energy systems, aerospace applications, and parallel algorithms for deep learning. He develops numerical methods for extreme-scale simulations and optimizes GPU-based solvers.

Awards

• IEEE Outstanding Paper Award (2020)
• Blue Waters Graduate Fellowship (2016-2017)
• MIT Green AI Hackathon Supercomputing Award (2020)

Grants & Advising

He leads projects funded by NASA and DOE, including grants for NWSC Cheyenne and Summit supercomputers. His advising includes mentoring doctoral students and postdocs in CFD and HPC.

Labs & Teams

He contributes to the High Altitude CFD Laboratory at UW and collaborates with NASA Ames Research Center on aerodynamics research.