Emma Lundberg

Stanford University · Bioengineering

Active 1999–2026

h-index77

Citations66.2k

Papers387157 last 5y

Funding—

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Emma Lundberg is an Associate Professor of Bioengineering and of Pathology at Stanford University, starting her appointment in January 2022. Her research focuses on bioengineering and pathology, contributing to the understanding of biological systems through engineering principles. Her work involves interdisciplinary approaches to explore cellular and molecular mechanisms, leveraging her expertise to advance biomedical research and innovation.

Research topics

Computational biology
Biology
Bioinformatics
Computer Science
Genetics
Cell biology
Data science
Anatomy
Engineering
Neuroscience

Selected publications

Deep Visual Proteomics defines single-cell identity and heterogeneity
Nature Biotechnology · 2022 · 513 citations
Despite the availabilty of imaging-based and mass-spectrometry-based methods for spatial proteomics, a key challenge remains connecting images with single-cell-resolution protein abundance measurements. Here, we introduce Deep Visual Proteomics (DVP), which combines artificial-intelligence-driven image analysis of cellular phenotypes with automated single-cell or single-nucleus laser microdissection and ultra-high-sensitivity mass spectrometry. DVP links protein abundance to complex cellular or…
DOI
The emerging landscape of spatial profiling technologies
Nature Reviews Genetics · 2022 · 412 citations
DOI
Spatiotemporal dissection of the cell cycle with single-cell proteogenomics
Nature · 2021 · 218 citations
Senior authorCorresponding
Publisher OA PDF DOI
Multimodal cell maps as a foundation for structural and functional genomics
Nature · 2025-04-09 · 29 citations
articleOpen access
Abstract Human cells consist of a complex hierarchy of components, many of which remain unexplored 1,2 . Here we construct a global map of human subcellular architecture through joint measurement of biophysical interactions and immunofluorescence images for over 5,100 proteins in U2OS osteosarcoma cells. Self-supervised multimodal data integration resolves 275 molecular assemblies spanning the range of 10 −8 to 10 −5 m, which we validate systematically using whole-cell size-exclusion chromatogra…
Publisher OA PDF DOI
Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage
Nature Methods · 2025-03-13 · 28 citations
articleOpen access
The Human BioMolecular Atlas Program (HuBMAP) aims to construct a 3D Human Reference Atlas (HRA) of the healthy adult body. Experts from 20+ consortia collaborate to develop a Common Coordinate Framework (CCF), knowledge graphs and tools that describe the multiscale structure of the human body (from organs and tissues down to cells, genes and biomarkers) and to use the HRA to characterize changes that occur with aging, disease and other perturbations. HRA v.2.0 covers 4,499 unique anatomical str…
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Frequent coauthors

Mathias Uhlén
KTH Royal Institute of Technology
345 shared
Fredrik Pontén
Uppsala University
121 shared
Wei Ouyang
Jilin University
121 shared
Christian Gnann
Science for Life Laboratory
85 shared
Charlotte Stadler
Science for Life Laboratory
71 shared
Peter Thul
Science for Life Laboratory
71 shared
Diana Mahdessian
68 shared
Trang Le
Stanford University
68 shared

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