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Information

Name Andrew C. Kirby
Contact ackirby88 (at) gmail (dot) com
Research Interests Computational Fluid Dynamics, High Performance Computing, GPU and Parallel Programming, Applied Mathematics, Wind Energy, Aerospace

Education

  • 2018
    PhD Mechanical Engineering
    University of Wyoming
    • Advisor - Dimitri Mavriplis
    • Dissertation - Enabling High-Order Methods for Extreme-Scale Simulations
  • 2013
    MS Applied Mathematics
    Columbia University
  • 2011
    BS Mathematics
    University of Wisconsin-Madison

Experience

  • 2020 -
    Research Scientist
    Scientific Simulations, LLC., Laramie, WY
    • Principal Investigator - NASA SBIR 2021 Phase I Solicitation (A1.02-1793)
      • High Fidelity Noise Prediction for Open Rotors
      • August 2022 - January 2023
      • NASA Glenn Research Center
    • Principal Investigator - NASA STTR 2021 Phase I Solicitation (T9.02-1964)
      • GPU Acceleration of an Adjoint Enabled Real Gas Hypersonic Flow Solver
      • May 2021 - June 2022
      • NASA Langley Research Center
    • Co-Investigator - NASA SBIR 2020 Phase I Solicitation (A1.02-5606)
      • Unstructured Overset Hybrid RANS/LES Simulations for Jet Noise Prediction
      • August 2020 - March 2021
      • NASA Glenn Research Center
  • 2022 - 2023
    Subcrontracted Research Scientist
    National Renewable Energy Laboratory, Golden, CO
    • DoE Exascale Computing Project Exawind Software
    • Overset algorithm and HPC scaling development
    • Collaborators - Michael Sprague, Ph.D.
  • 2020 -
    Research Scientist (Affiliate)
    University of Wyoming, Mechanical Engineering, Laramie, WY
    • Principal Software Developer of dg4est
  • 2019 - 2020
    Postdoctoral Research Associate
    MIT Lincoln Laboratory
    • Lincoln Laboratory Supercomputing Center
    • High performance computing algorithms development for Deep Learning
    • Supervisors - Vijay Gadepally, Ph.D., Jeremy Kepner, Ph.D.

Teaching

  • 2020
    Teaching Fellow
    Harvard University
    • Institute of Applied and Computational Science
    • CS107 - Systems Development for Computational Science
    • Lead Instructor - David Sondak, Ph.D.
  • 2013 - 2014
    Adjunct Instructor
    • Laramie County Community College, Cheyenne, WY
    • Mathematics 921 (four sections) - Algebra I
  • 2009 - 2011
    Mathematics Tutor
    • University Level - University of Wisconsin-Madison, University of Wyoming
    • High School Level - McFarland High School, McFarland, WI

Honors and Awards

  • 2020
    IEEE Outstanding Paper Award
    • IEEE High Performance Extreme Computing (HPEC) Conference
    • Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid
  • 2020
    MIT Green AI Hackathon Supercomputing Award
    • MIT Green AI Hackathon with the MIT-IBM Watson AI Lab
    • Best Satori (supercomputer) life hack - best use of Satori's unique features
  • 2016
    Blue Waters Graduate Fellowship
    • Selected 1 of 10 Nationally
    • 50,000 Node-Hours on NSF Blue Waters Supercomputer
    • $50,000 Stipend

HPC and Mathematics Training Programs

  • 2021
    Argonne National Laboratory GPU Hackathon
  • 2020
    The p4est software for parallel AMR Hausdorff School
  • 2020
    MIT Green AI 2020 Tutorial and Hackathon
  • 2017
    XSEDE International High Performance Computing Summer School
  • 2016
    NVIDIA GPU Programming Workshop and Poster Session
  • 2015
    DOE Argonne Training Program for Extreme-Scale Computing (ATPESC)
  • 2011
    Research Experience for Undergraduates (REU) in Mathematics
    • North Carolina State University, Environmental Protection Agency
    • Development of an Ozone Inhalation and C-Fiber Response Model
    • $4,000 Stipend
  • 2010
    Undergraduate Mathematics Program - Mentoring Through Critical Transition Points
    • Texas A&M University, College Station, TX