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.