MPH Biostatistics Candidate
Rollins School of Public Health
I’m a graduate student at the Rollins School of Public Health focused on analyzing large health datasets using regression, survival analysis, longitudinal methods, and machine learning. I primarily work in R, SAS, and Python.
I’m interested in applying these skills in healthcare, consulting, and public health settings where data has impact.
This interactive dashboard visualizes longitudinal estimated glomerular filtration rate (eGFR) data from a renal transplant clinical trial, allowing researchers and clinicians to explore treatment effects and patient-level trajectories over time.