My research interests include predictive modeling, medical monitoring, lung diseases and disorders, biomarker discovery and longitudinal data analysis. In my research lab, the goals of my team include designing and analyzing medical monitoring investigations as well as incorporating biomarkers for customized, enhanced prediction/early detection of swift disease progression.
Some of the most notable discoveries made at my lab include identifying pediatric phenotypes of rapid lung disease progression using the Cystic Fibrosis Registry and the proteomics-informed prediction modeling of rapid lung disease progression.
I was led to my research interests by witnessing how certain things change over time and determining why things transform. This is why I pursued statistics in my graduate studies at the University of Kentucky.
As my career progressed, I received a recognition for biostatistical contributions to cystic fibrosis research in the Journal of Cystic Fibrosis in April 2019. I have also held reviewer positions on grant award panels and I hold a membership in the Cystic Fibrosis Foundation Patient Registry/Comparative Effectiveness Research Committee. My research has been supported by the National Institutes of Health (NIH) and the Cystic Fibrosis Foundation.
I have more than 12 years of experience in the biostatistics field, and I first started working at the Cincinnati Children’s Hospital Medical Center in 2007. Lastly, my research work has been published in a multitude of journals, including Statistics in Medicine, Journal of Religion and Health, Journal of Cystic Fibrosis, Journal of Diabetes Research, Annals of the American Thoracic Society, and American Journal of Respiratory and Critical Care Medicine.
Cystic fibrosis; blood pressure; glycemic control
Functional data analysis; longitudinal data analysis; medical monitoring; prediction
Associate Professor, UC Department of PediatricsUC Department of Environmental Health; UC Department of Mathematical Sciences