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.


  • Riley
    Brady
    The physics of ocean currents and climate fascinate Riley...
  • Emily
    Crabb
    She aims to help create lighter, more powerful batteries. ..
  • Sarah
    Elliott
    Sarah’s practicum led her to model combustion reactions...
  • Jenelle
    Feather
    She creates machine-learning models of how humans hear...
  • Claire-Alice
    Hébert
    Her calculations could be critical for a new, giant telescope...
  • Brett
    Larsen
    He combines math with biophysics and neuroscience...
  • Yuexia
    Lin
    She seeks new ways to track the interactions of fluids and solids...
  • Thomas
    Ludwig
    Thomas perfects computer models of key chemical reactions...
  • Kayla
    McCue
    She uses computing to track the intricacies of gene transcription...
  • Ian
    Ochs
    He turned from evolutionary dynamics to plasma physics...
  • Nicholas
    Rivera
    How optical materials influence light fascinates Nicholas...
  • Amaresh
    Sahu
    Amaresh uses math to understand cell membranes...
  • Andres
    Salcedo
    Andres seeks clues to the universe’s invisible structure through its visible galaxies...
  • Sukin
    Sim
    Her work helps unlock quantum computing’s potential...
  • Blake
    Wetherton
    Blake’s HPC models probe plasma’s magnetic properties...
  • Cristina
    White
    Tina applies machine learning to models of moving fluids...