I develop methods for the analysis of complex high-dimensional data. These methods are usually motivated by applications in molecular biology, especially in fields that end with 'omics (such as genomics, metabolomics, proteomics, etc). My particular interests include the integration of multiple sources of data, exploratory factorization and clustering methods, and Bayesian nonparametric inference.

I joined UMN in 2014, after getting my PhD in Statistics from the University of North Carolina and doing a postdoc at Duke University.


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