Dr. Wang had formal training in both statistical bioinformatics and basic science research. She received Ph.D. training from the Department of Biostatistics at Johns Hopkins University. Her PhD thesis (advisor, Dr. Giovanni Parmigiani) is about statistical methods for cancer risk assessment and copy number estimation (with Dr. Rafael Irizarry). As a postdoctoral fellow at both Stanford Genome Technology Center (advisor, Dr. Ron Davis) and UC Berkeley Department of Statistics (advisor, Dr. Terry Speed), she completed three years of research on statistical methods for analyzing high-throughput sequencing data, where she developed a new and improved analysis tool for rare variant calling with resequencing arrays.
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