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Jingyi Jessica Li's research focuses on developing statistical computational methods to tackle important questions in biomedical sciences, particularly those involving large-scale genomic and health-related data. Her work employs statistical methodologies to address issues such as association measures, high-dimensional variable selection, and asymmetric classification. Additionally, her biomedical applications involve next-generation sequencing techniques, including bulk and single-cell RNA sequencing, as well as comparative genomics. As a faculty member at UCLA, she is also associated with the Bioinformatics Interdepartmental PhD Program and the Jonsson Comprehensive Cancer Center Gene Regulation Program. Li has earned a Ph.D. from the University of California, Berkeley, and has received numerous accolades, including the Hellman Fellowship, PhRMA Foundation Research Starter Grant in Informatics, Johnson & Johnson's Women in Science, Technology, Engineering, and Math Scholars Award, Sloan Research Fellowship, and the National Science Foundation CAREER Award.
University of California, Los Angeles • Los Angeles, CA
Faculty member focusing on computational methods in biomedical sciences.
Department of Economics admits primarily for the PhD program.