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.


  • Alnur
    Ali

    Alnur left a job with Microsoft to pursue machine-learning research....

  • Thomas
    Anderson

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

  • Nicholas
    Boffi

    Nick’s materials models test physical theories with broad implications....

  • Hannah
    De Jong

    Hannah seeks genetic clues to a damaging heart condition....

  • Morgan
    Hammer

    Morgan models chemistry's fundamental interactions....

  • Jordan
    Hoffmann

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

  • Alex
    Kell

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

  • Ryan
    McKinnon

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

  • Danielle
    Rager

    Danielle’s models could have implications for brain research and robotics. ...

  • Adam
    Riesselman

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

  • Adam
    Sealfon

    His computational methods can help block adversaries....

  • Jay
    Stotsky

    He’s computed one of the world’s most accurate biofilm models....

  • Thomas
    Thompson

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

  • Gerald
    Wang

    Jerry’s simulations help us understand how fluids behave in tiny spaces....

  • Kathleen
    Weichman

    Plasmas fascinate Kathleen, who uses computers to predict their behavior....

  • Joy
    Yang

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