Wenxing Li is a Postdoctoral Research Scientist at the Columbia University Department of Systems Biology, specializing in bioinformatics and systems biology. His work focuses on discovering new risk genes and the genetic etiology of developmental diseases through the integration of single-cell omics, machine learning, and genetics approaches. Recently, he identified novel congenital heart disease risk genes by integrating large-scale exome sequencing data. He has also developed a machine learning model for predicting autism risk genes by leveraging large-scale single-cell transcriptomic data from human brain development.