Michael Charleston

The paper introduces cpam, a time series analysis method for omics data that improves detection of temporal changes and changepoints, outperforming existing methods in false discovery rate control and power.

This study finds that geometric graphs are the most frequently predicted model for animal social networks across species and data collection methods.

This paper introduces a robust phylogenetic inference method that dynamically identifies and removes problematic sites in sequence alignments, outperforming existing methods while being implemented in IQ-TREE2.

The paper introduces a new supertree method, Spectral Cluster Supertree, which efficiently merges rooted phylogenetic trees with improved accuracy and speed compared to existing methods.

This study identifies three co-circulating SARS-CoV-2 lineages with distinct demographic dynamics using phylogenetic analysis.