Yingzi Ye

I study how clinical information is structured, transformed, and periodically degraded within real-world data environments. My work focuses on documentation variability, multilingual information loss, and the reliability of downstream interpretation.

Research areas

• EHR information variability & documentation drift
• Statistical reasoning under imperfect and multilingual data
• Human–system interaction in clinical information workflows

Current trajectory

• B.A. Applied Mathematics (Data Science), UC Berkeley
• M.B.A. Business Data Analytics, Sofia University (in progress)
• Building analytical and visualization tools (R/Python, Shiny)
• Preparing for doctoral study in Health Data Science, Biomedical Informatics, and Information Science

Navigating this site

• About — academic background, research themes, and trajectory.
• Projects — selected analytical work, tools, and explorations.
• Writing — essays and working notes on EHR, multilinguality, and information structure.
• Teaching — teaching philosophy and math tutoring experience.
• Contact — email and ways to connect.