She received her PhD degree in Statistics and Decision Sciences from Duke University. Her research interest is to develop and apply novel statistical methods to better design biological and clinical studies related to disease prevention, diagnosis and treatment and properly analyze data generated from such studies. Her methodological interest include Bayesian hierarchical models, model selection, model averaging, predictive modeling, and their applications to large complex datasets. She collaborates extensively with laboratory researchers and clinicians and has served as the Lead Biostatistician in clinical trials. Kathy became the Consulting Biostatistical Editor of The Journal of Experimental Medicine in 2016.