Sutro Tower · neuron
Developing Brain
Single-cell transcriptome, epigenome and proteome atlases of the human cortex.
Nature 2025Nat Biotech 2026Nature 2023
Laboratory of Complex Diseases
From Big Datato Big Modelto Big Mind
See the unseen.
What we do
One loop, from bench to model and back.
Four omics lines carry tissue into the atlas. Two model lines carry predictions back to the bench, and on to the clinic.
Research
One city, six questions.
Each theme is a San Francisco landmark rebuilt from the molecules we study.
Palace of Fine Arts · embryo
Pregnancy & Preterm Birth
The maternal–fetal interface, cell by cell, and the druggable genome of prematurity.
Nature 2026Sci Adv 2024AJHG 2018
Transamerica Pyramid · neural net
AI for Genomes
Deep learning that reads personal genomes, noncoding mutations and gene–environment interplay.
Cell 2019Cancer Res 2020iScience 2021
Bay Bridge · ECG
Heart & Vessels
Genomics of aortic aneurysm and the protein networks behind congenital heart disease.
Cell 2018Cell Systems 2022
Lombard Street · chromosome
Cancer Genomics
Prostate cancer at single-cell resolution, from germline architecture to allele-specific expression.
PLOS Genet 2025Mol Cancer Res 2026
Twin Peaks · phylogeny
Human Evolution
Where disease variants came from: natural selection, local adaptation and their trade-offs.
AJHG 2018PLoS Genet 2012Trends Genet 2013
Atlas · COSMOS
Our single-cell data production: from transcriptome to proteome.
Cellular Omics and Spatial Mapping Of States. Browse every cell we have profiled, gene by gene, at cell.ucsf.edu.
Developing neocortex
Single-nucleus multiome across gestation. Nature 2025.
Open browser →
Maternal–fetal interface
Spatiotemporal single-cell map of the placenta and decidua. Nature 2026.
Open browser →
Brain single-cell proteome
Protein-level landscape of the developing human brain. Nat Biotech 2026.
Open browser →
Publications
Papers.
* equal contribution# corresponding authorLi, J. highlighted
People
The lab.
Open positions
Build the next atlas with us.
Postdocs and graduate students in computational and experimental biology. Mentorship in genomic medicine, single-cell biology and precision health, with collaborators across UCSF and Stanford.
Send a CV, a short note on your interests, and three references to jingjing.li@ucsf.edu
Computational BiologyGenome analysis, machine learning and AI, or digital signal processing.
Experimental BiologyMulti-omics profiling; single-cell experience preferred.
Press