Lauren Athon

    I build reproducible R workflows and interactive visualization tools to explore complex biological and clinical data. My work sits at the intersection of data science, genomics, and patient-centered research.

 

    I am currently a Data Science BS/MS–track student with a background in Food and Nutrition, focused on translating complex biomedical data into interpretable insights and interactive visualization using R and Shiny.

  My academic and project work emphasizes reproducible workflows, thoughtful data preprocessing, and clear communication of complex biological and clinical information. I am particularly interested in how data science can support patient-centered research within regulated clinical and biomedical environments.

 

    Outside of coursework, I enjoy building tools that make complex data more approachable and interpretable.

 

Interests: biomedical data analysis · clinical-style exploratory analysis · interactive visualization · reproducibility