Jean Sexton is a postdoctoral researcher in the Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division of the Computing Sciences Directorate at the Lawrence Berkeley National Laboratory. She received her Ph.D. in Computational and Applied Mathematics from Southern Methodist University in 2017, where her thesis focused on the development of numerical methods for the time integration of problems with multiple characteristic time scales. She developed a family of efficient, fully coupled fourth-order multirate methods with comparable stability properties to leading existing third-order multirate methods. She is currently working on improving the coupling between the hydrodynamic solver and the integration of the heating and cooling source terms in the Nyx cosmology code, with the additional goal of improving the overall efficiency of the algorithm.
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