MPH Biostatistics Candidate
Rollins School of Public Health
I’m a graduate student at the Rollins School of Public Health with a strong interest in using data to answer complex, real-world questions. My work focuses on analysis of large health datasets, applying methods such as regression, survival analysis, longitudinal modeling, and machine learning. I primarily work in R, SAS, and Python.
I’m especially interested in applying these skills in healthcare services, consulting, and public health research — where data has real impact on improving outcomes. With a background spanning psychology, economics, and data science, I bring an interdisciplinary perspective and enjoy working with diverse groups.