Jessica has received a four-year, $2.4M NIH R01 grant from the National Human Genome Research Institute (NHGRI) to develop statistical methods for generating in-silico controls and pseudo-replicates for single-cell and spatial omics studies. The project will offer a practical way to assess result robustness when true biological replicates cannot be obtained and will provide an […]
At the 2025 American Public Health Association (APHA) Annual Meeting in Washington, D.C., Jessica delivered the Spiegelman Award Lecture and was recognized with the Mortimer Spiegelman Award. The award is presented annually by the APHA’s Applied Public Health Statistics Section to a statistician under the age of 40 who has made significant contributions to the […]
Pan Liu developed mcRigor, a statistical method that enhances the rigor of metacell partitioning in single-cell data analysis. mcRigor identifies heterogeneous metacells and optimizes hyperparameters of metacell partitioning methods to ensure reliable downstream analysis. The work was published in Nature Communications. Congratulations!
Congratulations to Pan!
We are excited to announce that the Junction of Statistics & Biology (JSB) Lab has officially relocated to Fred Hutchinson Cancer Center in Seattle, Washington. Starting July 1, 2025, Dr. Jingyi Jessica Li began her new role as Professor and Program Head of the Biostatistics Program at Fred Hutch, where she also holds the Donald […]
Congratulations to Guanao!
Congratulations to Guanao and Christy!
Jessica has been awarded a 2025 Guggenheim Fellowship by the John Simon Guggenheim Memorial Foundation. The fellowship is one of the most prestigious honors in the U.S., supporting individuals who have demonstrated exceptional scholarship or creative work across the sciences and arts. This year marks the 100th class of Guggenheim Fellows. Jessica was selected for her pioneering research at the […]
We published a comprehensive review of computational methods for detecting spatially variable genes (SVGs) in spatial transcriptomics data—an essential task for understanding tissue organization and function. Despite the growing number of available methods, inconsistencies in how SVGs are defined and detected have led to results that are often difficult to compare. In this review, we […]
Congratulations to Christy!