Dr. Hartung's clinical and translational research program focuses on autosomal recessive polycystic kidney disease and other genetic kidney diseases, development of new kidney and liver imaging biomarkers, and neurocognitive outcomes in children with chronic kidney disease.
Dr. Zee's statistical methods research includes topics in survival analysis, measurement error, observational data methods, and machine learning. Her clinical research is focused on kidney disease, specifically in clinical and pathology markers of glomerular and chronic kidney disease progression.
Dr. Tasian and his research team use an epidemiologic framework, including randomized trials and multi-institutional observational studies, to examine the etiology of kidney stone disease and the comparative effectiveness of surgical interventions. He also employs machine learning of complex data to improve diagnosis, risk stratification, and prediction of treatment response for children and adults with benign urologic disease.
Dr. Viteri is a pediatric nephrologist with an interest in renal imaging biomarkers, and works to develop renal imaging modalities to improve diagnostic tools and develop predictive models utilizing quantitative imaging analysis.