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Ethan N. Epperly is a Miller Research Fellow, appointed in 2025, at the University of California, Berkeley. His research interests encompass randomized quantum algorithms, scientific computing, and large-scale machine learning. Epperly is committed to advancing the methodologies and applications in these rapidly evolving areas, contributing to both theoretical developments and practical implementations. His work aims to harness the power of quantum computation to solve complex problems in various domains, particularly focusing on the intersection of quantum technologies and machine learning techniques. In addition to his research, he is involved in the academic community through teaching and collaboration with fellow researchers, furthering the collective understanding of both classical and quantum computing paradigms.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.