Summary

PhD-trained scientist and data visualization specialist with a passion for ice hockey, the English Premier League, and college football. Experienced in translating complex datasets into clear, engaging stories for broad audiences through thoughtful visual design. Collaborative and detail-oriented, with experience in creating reproducible workflows and generating publication-ready visualizations.

Experience

Biomedical Informatics Fellow
Yale University • New Haven, CT • January 2024 – Present

• Transform complex biomedical data into clear visualizations and statistical narratives for diverse audiences including clinicians, researchers, and the public
• Design and build reproducible data processing pipelines using R and Python for large-scale datasets
• Collaborate across multidisciplinary teams to identify compelling data stories and statistical insights
• Mentor graduate students on data analysis, visualization techniques, and scientific communication

PhD Researcher, Data Science & Visualization
Oregon Health & Science University • Portland, OR • September 2017 – December 2023

• Published peer-reviewed research in Nature Communications Medicine using advanced statistical methods and data visualization to communicate findings on microbiome diversity and health outcomes
• Developed microshades, an open-source R package for improving color accessibility in data visualization, now widely adopted across research communities (Top-Cited Author, ASM 2023)
• Built custom data analysis workflows to extract meaningful patterns from noisy, high-dimensional datasets
• Presented complex data findings to varied audiences through conference talks, posters, and written publications

Research Assistant
University of Chicago • Chicago, IL • August 2015 – August 2017

• Analyzed experimental data and created visualizations to support research publications and grant applications

Technical Skills

Data Visualization & Graphics

• Expert in ggplot2 (R), matplotlib/seaborn (Python), and design principles for publication-quality graphics
• Experience with interactive visualizations (shinyapps) and web-based data applications

Statistical Analysis

• Strong foundation in statistical methods, uncertainty quantification, and communicating statistical findings to non-technical audiences

Programming & Reproducibility

• Proficient in R (tidyverse, RMarkdown) and Python (pandas, NumPy)
• Experienced with version control (Git/GitHub), code review, and building reproducible analytical workflows

Data Pipeline Engineering

• Experience processing large datasets, handling missing or noisy data, and building automated data processing pipelines from raw data to publication-ready outputs

Education

PhD in Biomedical Engineering • Oregon Health & Science University • 2023

BS Chemical Engineering, BA German Language & Literature • University of Notre Dame • 2015

Selected Publications

Bowie, K.R., et al. (2025). Disinfection of Hospital Sink Drains Enriches Pseudomonadota and Efflux Pump-Mediated Antibiotic Resistance in Reestablished Biofilms. Under Review.

Bowie, K.R., et al. (2025). Body mass index and benign prostatic hyperplasia correlate with urinary microbiome diversity and lower urinary tract symptoms in men. Communications Medicine 5, 159.

Dahl, E.M., Bowie, K.R., et al. (2022). microshades: An R Package for Improving Color Accessibility and Organization of Microbiome Data. Microbiology Resource Announcements 11.

Awards & Honors

• 🏆 Best Poster Presentation, Gordon Research Conference for Microbiology of the Built Environment (2025)
• 📊 ASM Top-Cited Author for microshades R package (2023)
• 🎓 National Library of Medicine Fellowship in Biomedical Informatics and Data Science (2024-present)