Research
Sihai Dave Zhao conducts methodological research focused on developing rigorous statistical techniques for analyzing large-scale data from high-throughput genetics and genomics experiments. His current work centers on procedures for the integrative analysis of multiple omics datasets – across different subjects, phenotypes, modalities, and species – to achieve more powerful and accurate inference and prediction. Zhao has developed procedures for network estimation, variable selection, and predictive modeling using high-dimensional genomic predictors. He is Senior Personnel in the KnowEnG Center at the University of Illinois, an NIH-funded Big Data to Knowledge Center, where he works on methods for learning genetic epistasis networks.
Education
- Ph.D., Biostatistics, Harvard University, 2012
Campus Affiliations
- Associate Professor, Statistics
- Associate Professor, Biomedical and Translational Sciences
- Associate Professor, Bioengineering
- Affiliate, Carl R. Woese Institute for Genomic Biology
- Director of Computational Genomics, Carl R. Woese Institute for Genomic Biology