Hello, I’m Elizabeth! I’m a computational biologist passionate about making sense of large datasets through building reproducible worklfows and intuitive visualizations. My career has focused on applying multi-omics approaches to diverse and complex systems such as engineered wastewater systems, freshwater lakes, and fermented foods. I’m currently a research analyst at UC San Diego building predictive models of anti-inflammatory effects of fermented foods using multi-omics and machine learning.
I’ve previously been a computational scientist at Microcosm Foods, a research organization funded by the Astera Institute, and Arcadia Science. I’ve also been passionate about open science, and I’ve worked towards building open, reproducible computational workflows and datasets in my academic and industry careers.
I received my PhD in the Microbiology Doctoral Training Program at the University of Wisconsin-Madison studying lab-scale enrichment systems simulating phosphorus removal using multi-omics techniques. Prior to moving to industry, I was a postdoctoral researcher at the University of British Columbia in the Departments of Civil Engineering and Microbiology and Immunology working on the microbial ecology of anaerobic digestion systems.
I’m also passionate about teaching reproducible data analytical skills to other researchers and scientists. Since 2019 I’ve been a certified instructor through The Carpentries, an organization dedicated to teaching data analysis skills to researchers through workshops. I’ve helped develop new workshops, taught and helped at several workshops, and served on the Carpentries Genomics Advisory Committee in 2022.
You can find more information about my work, what I’m writing about, and how to get in contact with me!