About Me
I am Shuoyuan Gao, an M.S. Biostatistics candidate at the University of Michigan (May 2026) focused on applied statistics for clinical-style and public health datasets.
My work emphasizes data integrity, statistical modeling, and clear reporting for cross-functional stakeholders. I build analysis-ready data pipelines, run robust exploratory and inferential analyses, and translate results into decision-ready tables, figures, and presentations.
Areas I am especially interested in include medical devices, manufacturing analytics, quality monitoring, and applied statistics for patient-impacting products.