She is passionate about projects that use cutting-edge data science techniques on challenging scientific questions. In 2012, she earned her PhD in astrophysics from Arizona State University, followed by a three year postdoctoral fellowship at the National Institute for Standards and Technology developing machine learning methods to predict critical properties of pure compounds. She completed an Insight Data Science Fellowship in 2017 before joining the Data Systems group at LASP.