Dylan Pieper

Data Scientist

I’m a data scientist working on research, program evaluation, and business intelligence across the health sciences, education, and government. I love collaborating with teams to create meaningful data tools that look beautiful and are easy to use. I work full-stack—from the visualizations, reports, and dashboards people interact with to the models and pipelines that feed them—with reproducibility and open science as my core values.

I currently lead data strategy at a university advancing medical education. Across my career, I’ve turned complex, messy datasets—from APIs, surveys, and electronic health records—into actionable insights, backed by scalable databases and web apps that hold up in production.

I work primarily in R, Python, SQL, and Git, build applications and reports with Quarto and Shiny, with additional experience in Tableau and Power BI, and apply AI-driven analytics, natural language processing, and machine learning along the way.

Whether designing cloud-based architectures, automating workflows, or mentoring teams, I thrive in dynamic, cross-functional environments. My work has reached researchers worldwide through open-source packages, talks, and publications. Outside of work, I have a deep appreciation for nature and spirituality. From paragliding to yoga, I find energy and balance through exploring outer and inner landscapes.

Let’s connect and explore your data in ways you never thought were possible.