About me

I’m a computational genomics scientist working at the intersection of clinical variant interpretation, bioinformatics pipeline development, and machine learning methods for genomic data. I’m currently a Research Associate on the Clinical Informatics and Development team within the Personalized OncoGenomics (POG) program, where I help translate whole genome and transcriptome data from cancer patients into actionable findings for molecular tumour boards.

I hold a Ph.D. in Genetics (with minors in Molecular Medicine and Ecology & Evolutionary Biology) from the University of Arizona, and a B.A. in Chemistry from Bryn Mawr College. Before moving into computational work, I spent 6+ years across a range of wet lab disciplines — organic synthetic chemistry, protein crystallography, cell biology, and virology.

My Ph.D. and postdoctoral work focused on developing statistical methods to infer population history and natural selection from genomic data. My current research builds on that quantitative foundation, focusing on improving somatic variant calling from FFPE tumor samples.

For more on my past and present projects, see Projects.