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Andrew Kirby

Andrew Kirby

Associate Research Scientist | School of Computing

Room 4079A, Engineering

Laramie, WY
Phone: 307-766-5234
Email: akirby@uwyo.edu
Curriculum Vitae


Academic Background

  • PhD, University of Wyoming, Mechanical Engineering (2018)

  • MS, Columbia University, Applied Mathematics (2013)

  • BS, University of Wisconsin-Madison, Mathematics (2011)


Professional Summary

In the School of Computing, I collaborate with researchers across campus to help elevate their high-performance computing needs through the use of UWYO's ARCC and the NWSC's supercomputing resources. I do research in scientific computing on massively parallel supercomputers including NWSC's Cheyenne and Derecho, as well as at leadership-class computing facilities such as Summit (OLCF), Perlmutter (NERSC), Mira (ALCF), Eagle (NREL), and TX-GAIA (MIT).

I’m leading research projects in the fields of Wind Energy and Aerospace, including work with NREL and NASA. In the past, I worked at MIT Lincoln Laboratory in the Supercomputing Group (LLSC), as a Postdoctoral Associate developing advanced parallel algorithms for Deep Learning.

I did my Ph.D. in Mechanical Engineering at the University of Wyoming under the direction of Professor Dimitri Mavriplis where I worked on the development of high-order numerical methods for multi-scale computational fluid dynamics problems. During my Ph.D. studies, I was fortunate to be selected as an NSF Blue Waters Graduate Fellow, in which I performed the highest-fidelity blade-resolved wind farm simulations to date on leadership-class supercomputers! Additionally, I spent several months working with the U.S. ARMY’s CREATE-AV HELIOS Team at NASA Ames Research Center on my doctoral research.

Before changing to the dark side of computational mathematics and engineering, I did an M.S. at Columbia University in Applied Mathematics, and a B.S. in Mathematics at the University of Wisconsin-Madison.


Experience

  • 2023–: Research Scientist, School of Computing University of Wyoming, Laramie, WY

  • 2022-2023: Subcontractor, National Renewable Energy Laboratory, Golden, CO

  • 2020-2023: Research Scientist, Scientific Simulations, LLC., Laramie, WY

  • 2020: Teaching Fellow, Institute for Applied and Computational Science, Harvard University, Cambridge, MA

  • 2019-2020: Postdoctoral Research Associate, MIT Lincoln Laboratory, Lexington, MA

  • 2018-2019: Postdoctoral Research Associate, University of Wyoming, Laramie, WY

  • 2016-2017: NSF Blue Waters Graduate Fellow, University of Illinois at Urbana-Champagne

  • 2014-2016: Visiting Research Scientist, NASA Ames Research Center, US Army CREATE-AV, Mountain View, CA


Research Areas

In the School of Computing, I collaborate with researchers across campus to help elevate their high-performance computing needs through the use of UWYO's ARCC and the NWSC's supercomputing resources. I do research in scientific computing on massively parallel supercomputers including NWSC's Cheyenne and Derecho, as well as at leadership-class computing facilities such as Summit (OLCF), Perlmutter (NERSC), Mira (ALCF), Eagle (NREL), and TX-GAIA (MIT).

I’m leading research projects in the fields of Wind Energy and Aerospace, including work with NREL and NASA. In the past, I worked at MIT Lincoln Laboratory in the Supercomputing Group (LLSC), as a Postdoctoral Associate developing advanced parallel algorithms for Deep Learning.

I did my Ph.D. in Mechanical Engineering at the University of Wyoming under the direction of Professor Dimitri Mavriplis where I worked on the development of high-order numerical methods for multiscale computational fluid dynamics problems. During my Ph.D. studies, I was fortunate to be selected as an NSF Blue Waters Graduate Fellow, in which I performed the highest-fidelity blade-resolved wind farm simulations to date on leadership-class supercomputers! Additionally, I spent several months working with the U.S. ARMY’s CREATE-AV HELIOS Team at NASA Ames Research Center on my doctoral research.

Before changing to the dark side of computational mathematics and engineering, I did an M.S. at Columbia University in Applied Mathematics, and a B.S. in Mathematics at the University of Wisconsin-Madison.


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