I use computational approaches to understand how populations change through time in response to evolutionary and demographic processes.

 

During my Ph.D. in the Huber Lab at The Pennsylvania State University, I studied systems where genomic data alone are insufficient to reconstruct the past or predict future evolutionary trajectories. My work examined how demography, gene flow, and selection shape genetic variation, including research on purifying selection and genes under constraint within the human genome. More broadly, I am interested in how integrative approaches can reveal evolutionary processes that cannot be directly observed.

​

As a postdoctoral researcher in the vonHoldt Lab at Princeton University, I am continuing to explore biological systems whose complexity requires integrative computational approaches, with red wolf conservation genomics providing an especially powerful example. In particular, I am interested in studying “ghost wolves”—canids that retain red wolf ancestry outside the currently managed red wolf population—and what they can reveal about the evolutionary and conservation histories of North American canids.

 

Prior to my Ph.D., I completed my B.S. with Interdisciplinary Honors at the University of New Hampshire in 2021, where I addressed biases in transcriptome and genome assembly as part of the MacManes Lab.