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.


  • Robert
    Baraldi
    Bobby writes algorithms to identify conditions that produced observations...
  • Jennifer
    Coulter
    Jennifer’s models could make it easier to develop useful new materials...
  • Sarah
    Greer
    Her research could clarify what we know of the world below us...
  • Olivia
    Hull
    Olivia focuses on tiny particles that assist with difficult chemical reactions...
  • K. Grace
    Johnson
    Grace uses quantum mechanics to grasp photosynthesis fundamentals...
  • Jonas
    Kaufman
    He uses computation to explore materials for better batteries...
  • Miriam
    Kreher
    The intersection of physics and nuclear power fascinates Miriam. ..
  • Logan
    Kunka
    The blasts he studies can damage cities but also could propel aircraft...
  • William
    Moses
    William’s tools make it easier for novices to write software like experts...
  • Kari
    Norman
    She wants to improve how we measure ecological change...
  • Samuel
    Olivier
    Sam’s algorithms could help advance fusion energy experiments...
  • Melissa
    Queen
    Melissa wants to make molecule-based computing feasible. ..
  • Steven
    Torrisi
    He uses machine-learning techniques to study materials’ properties...
  • Annie
    Wei
    She combines practical computing skills with advanced physics theory...
  • Malia
    Wenny
    A casual conversation during her practicum helped advance her thesis research...