Christina Kendziorski is a computational scientist working to address challenges in genomic based studies of disease. Her research group has developed several widely-used statistical methods to address questions in the design and analysis of static and time course microarray experiments, expression quantitative trait loci (eQTL) mapping, network reconstruction, next-generation sequencing experiments, and most recently personalized genomic medicine. In addition to serving on the editorial board of Genetics, Dr. Kendziorski is an associate editor at the Annals of Applied Statistics, Bayesian Analysis, and the Genomics, Bioinformatics, and Systems Biology Section of Biology Direct, and a member of the NIH Genomics, Computational Biology, and Technology (GCAT) study section. She also heads Statistical Genetics and Genomics at the University of Wisconsin’s Institute for Clinical and Translational Research (ICTR). Although her primary focus is on research and training, Dr. Kendziorski is dedicated to eradicating socio-economic inequities in education, and toward that end chairs the University of Wisconsin Committee on undergraduate admissions, recruitment, and financial aid (CURAFA).