She received her Ph.D. in statistics from University of California Davis in 2004. Dr. Senturk's main methodological research areas are regression model building for repeated measures/ longitudinal data, functional data analysis and semiparametric covariate and error adjustments in regression and correlation models with applications to biomedical data. She works on modeling trends in data that are changing over time and explore dynamical regression relations between variables. Some of her applied work include modeling of molecular inflammation markers, infection status and cardiovascular events in the dialysis population, risk factors for hypertension, genomic markers of disease outcome and association of molecular measures in female carriers of the FMR1 (fragile X mental retardation 1) gene.Attending a Seminar