David Sihai Zhao

Dave has specialized in statistical techniques for analyzing large-scale data from high-throughput biological datasets for over 11 years, and has developed accurate inference and prediction models using multiple omics datasets across varied subjects, phenotypes, modalities, and species. Dave's broad collaborative research experience includes GWAS of pediatric autoimmune disease, eQTL studies of human heart failure, integrative genomics studies of long noncoding RNAs in cancer, and cross-species studies of the molecular roots of social behavior. He is currently an Assistant Professor of Statistics at the University of Illinois at Urbana-Champaign. Dave received a Ph.D. in Biostatistics, and A.M. and A.B. degrees in Statistics and Chemistry/Physics, respectively, all from Harvard University.