Dylan Pieper

Data Scientist

Welcome! I’m a data scientist working 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 on the full-stack—from developing visualizations, reports, and dashboards to engineering the models and pipelines that feed into them.

I currently lead data strategy at a university focused on innovations in medical education. I’ve built centralized data platforms, integrated AI-driven insights, and optimized workflows using R, Python, SQL, Azure, and Microsoft Power services.

My work spans the data lifecycle, from machine learning and natural language processing to scalable databases and interactive Shiny applications. Beyond the technical implementation, I excel at bridging the gap between engineering and business needs, translating complex datasets—from API endpoints, surveys, or electronic health records—into actionable insights for partners at all levels.

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. Whether it’s paragliding or 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.