I’m a PhD student in Applied and Computational Mathematics at Caltech, whose research is focused on designing computational techniques to solve large-scale linear algebra problems with applications in scientific computing and data science. My advisor is Joel Tropp.

I got my undergraduate degrees in Mathematics and Computing from the College of Creative Studies at UCSB, where I worked with Professor Shivkumar Chandrasekaran and the scientific computing group. I have had internships at Sandia National Lab, working with Ryan Sills, Don Ward, and Jonathan Hu; Lawrence Livermore National Lab, working with Andrew Barker; and Lawrence Berkeley National Lab, working with Lin Lin.

I have been recognized for my work with the UCSB Chancellor’s Award for Excellence in Undergraduate Research, the UCSB Mathematics Department’s Raymond L Wilder Award, and finalist status for the Hertz foundation fellowship. I am supported by a Department of Energy Computational Science Graduate Fellowship.

Recent Publications

**E. N. Epperly**, N. Govindarajan, & S. Chandrasekaran (2021). Minimal rank completions for overlapping blocks.*Linear Algebra and its Applications.***E. N. Epperly**, A. T. Barker, and R. D. Falgout (2020). Smoothers for Matrix-Free Algebraic Multigrid Preconditioning of High-Order Finite Elements.*LLNL Technical Report.***E. N. Epperly**& R. B. Sills (2020). Transient solute drag and strain aging of dislocations.*Acta Materialia*.**E. N. Epperly**& R. B. Sills (2020). Comparison of continuum and cross-core theories of dynamic strain aging.*Journal of the Mechanics and Physics of Solids*, 103944.