Jarcy Zee, PhD
Dr. Zee’s research focuses on developing and applying survival analysis methods for outcomes measured with error and identifying novel biomarkers of kidney disease progression. Her recent work has expanded into development of unsupervised and supervised machine learning methods and the integration of high-dimensional data across the genotype-phenotype continuum for outcome prediction. While her applied research is grounded in adult and pediatric nephrology, the interplay between the kidneys and other organ systems necessitates an interdisciplinary approach delving into genetics, women’s health, cardiovascular disease, and patient-centered outcomes.
Dr. Zee joined the biostatistics faculty at the University of Pennsylvania and the Children’s Hospital of Philadelphia (CHOP) Research Institute in 2020. Prior to her work at Penn and CHOP, she was a Research Scientist at Arbor Research Collaborative for Health in Ann Arbor, Michigan. She is a co-principal investigator on an NIH/NIDDK-funded study on computational pathology for proteinuric glomerulopathies, which uses computational approaches to identify new imaging markers of clinical outcomes. She is also principal investigator of a pilot study funded by NephCure Kidney International to develop a marginal structural proportional rates model for estimating time-varying exposure effects on recurrent event outcomes. She brings strong experience with data coordinating centers, including serving in her current role as a co-investigator for the Data Analysis and Coordinating Center for the Nephrotic Syndrome Study Network (NEPTUNE).
Chronic kidney disease, adult and pediatric glomerular disease, women’s health, patient-centered outcomes
Survival analysis, surrogate outcomes, biomarkers, observational data analysis, machine learning