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.


  • Peter
    Ahrens
    Peter’s research helps algorithms run well on new computer architectures...
  • Robert
    Baraldi
    Bobby writes algorithms to identify conditions that produced observations...
  • Matthew
    Carbone
    Matt’s practicum led to a dual research track...
  • Jennifer
    Coulter
    Jennifer’s models could make it easier to develop useful new materials...
  • Priya
    Donti
    Priya wants to apply AI to power problems and climate change...
  • 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...
  • Sean
    Marks
    Sean’s models could help surfaces shed ice...
  • Quentarius
    Moore
    He researches how physical force influences chemical reactions...
  • Kari
    Norman
    She wants to improve how we measure ecological change...
  • 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...
  • Malia
    Wenny
    A casual conversation during her practicum helped advance her thesis research...