Ethan Epperly
Graduate Student Researcher
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolEthan Epperly is a PhD candidate in Applied and Computational Mathematics at Caltech specializing in randomized and large-scale linear-algebra techniques for scientific computing and data science. He brings a decade of experience across academic research and national labs—Sandia, Lawrence Livermore, and Berkeley—where he worked on practical high-performance algorithms alongside domain experts. His work, advised by Joel Tropp, bridges theoretical numerical analysis and scalable implementations for real-world engineering problems. A recipient of the UCSB Chancellor’s Award and finalist for the Hertz Fellowship, he is supported by a Department of Energy Computational Science Graduate Fellowship. Beyond theory, Ethan’s background in both mathematics and computing from UCSB and collaborations with leading scientific computing groups give him a strong track record of translating mathematical insight into performant code and tools.
10 years of coding experience
California Institute of TechnologyBachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at UC Santa BarbaraMathematics, Freshman, Mathematics, Freshman at Las Positas CollegeLivermore Valley Charter Prep
Stackoverflow
181reputation
11kreached
0answers
1question
Github Skills (15)
hpc-applications9
scientific-computing8
lists8
linux7
hpc7
algorithms6
windows6
trilinos6
pulp6
linear-programming6
python6
raycast5
kernel-methods3
large-scale2
machine-learning2
Programming languages (5)
Github contributions (5)
eepperly/Randomly-Pivoted-Cholesky
Jul 2022 - Jan 2023
Contributions:33 commits, 11 PRs, 29 pushes in 5 months
eepperly/Robust-randomized-preconditioning-for-kernel-ridge-regression
Apr 2023 - Jul 2024
Contributions:2 reviews, 2 PRs, 5 pushes in 1 year 3 months
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