Jingyi Jessica Li

Jingyi Jessica Li
Jingyi Jessica Li
李婧翌
Born	1985 (age 40–41)
Alma mater	Tsinghua University (B.S.); University of California, Berkeley (Ph.D.)
Known for	Statistical methods for RNA-seq, single-cell, and spatial transcriptomics; Quantifying the central dogma using statistics; P-value-free false discovery rate control; Neyman-Pearson classification for medical diagnostics;
	Scientific career
Fields	Statistics; Bioinformatics; Computational biology; Machine learning; Genomics;
Institutions	University of California, Los Angeles;
Thesis	Statistical Methods for Analyzing High-throughput Biological Data (2013)
Doctoral advisors	Peter J. Bickel; Haiyan Huang
Website	jsb-lab.org

Jingyi Jessica Li (Chinese:李婧翌) is a statistical scientist whose work bridges statistics and computational biology, with a focus on developing rigorous statistical methods for the analysis of high-throughput biological data. Her research integrates statistical principles with biological data analysis, particularly in genomics and transcriptomics.

Li has won several awards, including the Overton Prize from the International Society for Computational Biology and the Emerging Leader Award from COPSS. In 2025, she was awarded the Guggenheim Fellowship.