Dr. Wang obtained his BS at Peking University and Ph.D. at the University of Washington. He had postdoctoral training at the University of Pennsylvania and Children’s Hospital of Philadelphia, working on genomic analysis of multiple human diseases. Prior to coming to New York City, he was an Associate Professor of Psychiatry at the University of Southern California. He developed PennCNV, one of the most widely used software tools to detect copy number variations from high-density SNP arrays, as well as ANNOVAR, one of the most widely used software tools for functional annotation of genetic variants from high-throughput sequencing data. He joined Columbia in 2016 as an Associate Professor of Biomedical Informatics and the Director of Clinical Informatics at the Institute for Genomic Medicine.
Dr. Wang’s research focus on the development of bioinformatics methods to analyze DNA and RNA sequencing data, and to enable the implementation of genomic medicine in clinical settings. Current projects include: (1) Develop a phenotype-driven approach to identify disease causal genes and variants (2) Develop integrative approaches for clinical interpretation of genetic variants (3) Develop novel algorithms to extract biological insights from long-read sequencing data (4) Use machine learning approaches on molecular profiles to optimize disease treatments and predict patients survival.