CV

Full CV available for download above.

Contact Information

Name Andrew J. Younge
Professional Title R&D Manager, Scalable Computer Architectures
Email ajyoung@sandia.gov

Professional Summary

Dr. Andrew J. Younge is the R&D Manager of the Scalable Computer Architectures department at Sandia National Laboratories. The department is responsible for leading activities in specifying and developing future generations of high-performance computing systems to meet a broad cross-section of Sandia’s national security missions.

Experience

  • 2016 - present

    Albuquerque, NM

    R&D Manager, Scalable Computer Architectures
    Sandia National Laboratories
    • R&D Manager, Scalable Computer Architectures (2022–present)
      Manager of the Scalable Computer Architectures department at SNL/NM. Sandia sub-element Lead for the DOE/NNSA CSSE program, including the Vanguard prototype systems and Advanced Memory Technology research portfolio. Line management for ~18 technical staff, postdocs, and students.
    • Acting Manager, Extreme-scale Data Science and Analytics (2022)
      Acting Manager of the Extreme-scale Data Science and Analytics department in SNL/CA. Managed 33 technical staff, postdocs, students, and administrative staff members.
    • Principal Member of Technical Staff (2021–2022)
      Principal Investigator of Supercontainers Project within the Exascale Computing Project. Co-PI of NNSA/CSSE Containers and Computing as a Service for Advanced Digital Engineering. Technical Advisor for Vanguard (Astra) and Vanguard II supercomputer procurements under DOE/NNSA NA-114.
    • Senior Member of Technical Staff (2016–2021)
      Led containers and virtualization R&D activities for HPC. Expert in OS & Runtime systems, system software, and HPC energy efficiency. Researcher and key contributor to NNSA ASC ATDM and CSSE programs.
  • 2015 - 2016

    McLean, VA

    Senior Computer Scientist
    MITRE Corporation
    • Member of the Center for National Security, J84B Simulation Engineering department.
    • Supported Live-Synthetic Training and Test Evaluation Enterprise Architecture efforts for the U.S. Army PEO STRI.
    • Specialized in Cloud Computing strategies and techniques.
  • 2010 - 2016

    Bloomington, IN

    Graduate Researcher & Fellowship
    Indiana University
    • Member of the Pervasive Technology Institute and Community Grids Laboratory under Dr. Geoffrey C. Fox.
    • Researcher for the NSF FutureGrid project.
    • Associate Instructor for Distributed Systems (CSCI-P434) and Cloud Computing (CSCI-B649).

Education

  • 2010 - 2016

    Bloomington, IN

    Ph.D
    Indiana University
    Computer Science
  • 2008 - 2010

    Rochester, NY

    M.S.
    Rochester Institute of Technology
    Computer Science
  • 2004 - 2008

    Rochester, NY

    B.S.
    Rochester Institute of Technology
    Computer Science

Awards

  • 2019, 2025
    NNSA Defense Programs Award of Excellence
    DOE National Nuclear Security Administration

    AMT Team (2025) — Tri-lab team award for the Advanced Memory Technology program. Exceptional Achievement Award.
    Astra Supercomputer Team (2019) — Exceptional Achievement Award for significant contributions to the Stockpile Stewardship Program.

  • 2019, 2021, 2023
    Employee Recognition Award
    Sandia National Laboratories

    DetNet Computing for Design & Surveillance (2023)
    Supercomputer ATDM Level-1 Milestone Team (2021)
    Astra Supercomputer Team (2019)

  • 2018
    R&D 100 Award
    R&D World

    Power API (2018)
    Special Recognition — Corporate Social Responsibility (2018)

  • 2018
    Up & Coming Innovator Award
    Sandia National Laboratories

Skills

Research Areas: High Performance Computing, Computer Architecture, Containers & Virtualization, System Software, Cloud Computing, Energy Efficiency Computing, Distributed Systems
HPC Systems: Arm, x86, Novel Accelerators, System Software, Workload Management, OS & Runtimes, Advanced Memory Technologies
Leadership: R&D Management, Program Management, Tri-lab Collaboration, DOE/NNSA Programs, Technical Advisory