Aidan Lee

Data Engineering | Statistical Modeling | Applied Machine Learning

Hello! I am a Master’s student in Epidemiology and Biostatistics at UC Berkeley. My research focuses on applying statistical and computational methods to make complex, real-world data actionable. I work extensively with high-dimensional feature spaces, such as electronic health records and text-heavy corpora, often to support population-level health and behavioral analyses.

I enjoy taking on projects where data are messy and highly abstracted. I approach these challenges through an informatics lens, building pipelines and analytical systems that translate raw data into information anyone can use. My work reflects fullstack proficiency across the data lifecycle. Please explore my website to learn more!

When I am not on my computer, I enjoy writing and recording music, going on bike rides, chipping away at my reading list, and catching the Dodgers when baseball is in season.