Summary
Kate Bowie is a postdoctoral research fellow and data scientist with eight years of interdisciplinary experience spanning chemical engineering, bioengineering, and microbiome-focused public health research. Trained as a chemical engineer (BS) and holding a PhD in Bioengineering, she develops computational methods for low-biomass 16S rRNA data and applies them to wastewater surveillance and human microbiome studies linking microbial signals to prostate and population health. At Yale and previously OHSU, she combines rigorous wet-lab understanding with reproducible open-science practices learned through roles with the Frictionless Data initiative. Comfortable navigating noisy, real-world datasets, she brings both algorithmic skill and domain fluency to projects that bridge environmental monitoring and clinical insight. An unusual asset is her multilingual BA in German, which complements her science communication and outreach in academic and public settings.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Chemical Engineering, Bachelor of Science (B.S.), Chemical Engineering at University of Notre Dame
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Oregon Health and Science University School of Medicine
German