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.


  • Matthew
    Carbone
    Matt’s practicum led to a dual research track...
  • Emily
    Crabb
    She aims to help create lighter, more powerful batteries. ..
  • Jenelle
    Feather
    She creates machine-learning models of how humans hear...
  • Anya
    Katsevich
    Anya applies her love of math to tough problems with real-life ramifications...
  • Morgan
    Kelley
    Her research can help manufacturers use electricity more wisely...
  • Kelly
    Kochanski
    Kelly’s computer code tracks how wind shapes snow...
  • Claire
    Kopenhafer
    Claire’s calculations probe the origins of stars and galaxies...
  • Thomas
    Ludwig
    Thomas perfects computer models of key chemical reactions...
  • Sean
    Marks
    Sean’s models could help surfaces shed ice...
  • Quentarius
    Moore
    He researches how physical force influences chemical reactions...
  • Ian
    Ochs
    He turned from evolutionary dynamics to plasma physics...
  • Andres
    Salcedo
    Andres seeks clues to the universe’s invisible structure through its visible galaxies...
  • Kevin
    Silmore
    His models explore the dynamics of “squishy” materials...
  • Benjamin
    Toms
    His machine-learning methods could improve near-term climate predictions...
  • Zachary
    Weiner
    The early microseconds of the universe’s existence fascinate Zach...
  • Cristina
    White
    Tina applies machine learning to models of moving fluids...