I am a Ph.D. student in Computing and Mathematical Sciences at Caltech, advised by Venkat Chandrasekaran and Joel Tropp. My interests lie at the intersection of applied algebra, numerical linear algebra, and optimization, with a focus on developing scalable methods for obtaining approximate solutions to challenging computational problems.
Find more details in my CV and Google Scholar, and feel free to contact me at emoreno2@caltech.edu.
Moreno, E., & Chandrasekaran, V. (2025). Spectral Methods for Polynomial Optimization. arXiv preprint arXiv:2507.16272.
Epperly, E., & Moreno, E. (2023). Kernel quadrature with randomly pivoted Cholesky. Advances in Neural Information Processing Systems, 36, 65850-65868. [Spotlight Poster]
Moreno, E., & Velasco, M. (2023). On random walks and switched random walks on homogeneous spaces. Combinatorics, Probability and Computing, 32(3), 398-421. [Journal]