Researchers come to the Department of Energy Computational Science Graduate Fellowship from a spectrum of backgrounds. Some may have little or no formal training in computation, but are eager to apply high-performance computing to their area of expertise, be it astrophysics, engineering or energy production. Others are steeped in computer science and mathematics and are seeking new ways to apply their skills. In these short profiles, fourth-year fellows discuss the fellowship, their research and their career goals.


  • Thomas
    Anderson

    The mathematical methods he researches can improve simulations....

  • Hilary
    Egan

    Her models could help determine which exoplanets are most likely to be habitable....

  • Kyle
    Felker

    He's building a computational tool to improve astrophysics models....

  • Jordan
    Hoffmann

    Developing crickets give Jordan insights into the assembly of life....

  • Julian
    Kates-Harbeck

    Julian models the spread of ideas via social networks....

  • Alex
    Kell

    Alex uses computational models and brain scans to study how we hear....

  • Aditi
    Krishnapriyan

    Her computational methods will help understand exotic new materials....

  • Ryan
    McKinnon

    Ryan models tiny dust particles in giant galaxies....

  • Adam
    Riesselman

    Adam's research accelerates evolution in a computer....

  • Adam
    Sealfon

    His computational methods can help block adversaries....

  • Mukarram
    Tahir

    With models of tiny particles, he finds ways to tweak cellular processes. ...

  • Thomas
    Thompson

    His algorithms could lead to early warnings of earthquakes....

  • Joy
    Yang

    The video game character Pac-Man led Joy into computing....