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Elizabeth Purdom is an Associate Professor in the Department of Statistics at the University of California, Berkeley. Her research expertise primarily lies in computational biology, bioinformatics, and statistical methodologies applied to high-throughput genomic experiments. Purdom focuses on statistical problems that arise in molecular biology and genetics, particularly in gene expression analysis and alternative splicing through microarrays and ultra high-throughput sequencing. Her methodological interests include high-dimensional multivariate techniques, which are crucial for effectively analyzing complex biological data. Purdom has a significant background in developing innovative statistical tools and approaches to address the challenges presented by large-scale genomic datasets, contributing to advancements in cancer genomics and data analysis.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.