Dr. Jessica Jingyi Li


Jingyi Jessica Li is an Associate Professor in the Departments of Statistics (primary), Biostatistics, Computational Medicine, and Human Genetics (secondary) at UCLA. She is also a faculty member in the Interdepartmental Ph.D. Program in Bioinformatics. Prior to joining UCLA in 2013, Jessica obtained her Ph.D. in UC Berkeley and her B.S. (summa cum laude) from Tsinghua University, China. Jessica leads the research group Junction of Statistics and Biology (http://jsb.ucla.edu). She and her students focus on developing statistical and computational methods motivated by important questions in biomedical sciences and abundant information in big genomic and health related data. On the statistical methodology side, her research interests include false discovery rate control, association measures, asymmetric classification, and high-dimensional variable selection. On the biomedical application side, her research interests include bulk and single-cell RNA sequencing, comparative genomics, and information flow in the central dogma. Jessica is the recipient of the Hellman Fellowship (2015), the PhRMA Foundation Research Starter Grant in Informatics (2017), the Alfred P. Sloan Research Fellowship (2018), the Johnson & Johnson WiSTEM2D Math Scholar Award (2018), the NSF CAREER Award (2019), the UCLA DGSOM Keck W. M. Keck Foundation Junior Faculty Award (2020), and the MIT Technology Review 35 Innovators Under 35 China (2020).

Learn about her recent award here.