Dr. Hilary Egan joined NREL in 2020 as a data scientist in the Computational Science Center. Her career started in computational astrophysics, with a focus on using plasma models to simulate planetary magnetospheres and examine atmospheric escape processes at Mars and potentially habitable exoplanets. During her time in graduate school at the University of Colorado Boulder, she used an opportunity afforded to her by the U.S. Department of Energy's Computational Science Graduate Fellowship to complete a practicum at NREL to broaden her machine learning skillset. She is now happy to return to NREL and continue working on projects applying machine learning methods, computational modeling, and scientific visualization to a variety of problems.

Research Interests

Statistical analysis

Multi-scale/multi-physics modeling

Data analysis

High performance computing

Scientific visualization

Education

Ph.D., Astrophysics and Planetary Science, University of Colorado Boulder

B.S., Physics, Michigan State University