I am an MPH candidate in the “4+1” Epidemiology and Biostatistics program, with research interests at the intersection of robust statistical methodologies, machine learning, and electronic health systems to advance infectious disease epidemiology. I have extensive experience in engineering and automating data pipelines to streamline analyses and improve research efficiency. I serve as a Graduate Student Instructor for Public Health 142: Introduction to Probability and Statistics in Biology and Public Health, and as a Research Assistant in the Remais Lab within the Department of Environmental Health Sciences, where I aid in analyses of invasive fungal diseases.
Public Health, Health Data, Electronic Health, Biostatistics, Machine Learning, Geospatial Analysis, Automation
