Research

We study how hosts and diseases interact inside intact tissue. We build the technologies this needs, mostly for high-dimensional tissue imaging, and use existing ones where they fit.

We ask how the immune system responds to viruses such as HIV, SIV, SARS-CoV-2, EBV and Ebola virus, to cancers such as lymphoma, and in immune diseases such as chronic rhinosinusitis. With clinical collaborators, we work from archival clinical samples, small and large animal models and organoids. The long-term goal is better therapies.

Technology development

Multiplexed fluorescence image of a human lymph node, dense immune cells stained in magenta, cyan and yellow.

We develop chemistry and imaging that measure proteins, RNA, DNA and glycans in the same tissue section.

PASTA
Tyramide amplification of oligonucleotide barcodes, for high-plex protein and RNA imaging on the same FFPE section. Nature Methods, 2026 Code and data for PASTA
IN-DEPTH
Single-cell protein imaging guides RNA capture on the same slide, without losing RNA signal. Our SGCC framework then links the two. Cancer Discovery, 2026 Code and data for IN-DEPTH
PANINI
Protein and nucleic acid imaging in the same archival tissue, sensitive down to single genomic events. Immunity, 2022 Code and data for PANINI
ExPRESSO
Tissue expansion that holds under vacuum, for sharper high-plex images on MIBI and imaging mass cytometry. Nature Communications, 2023 Code and data for ExPRESSO
GlycoScope
Human lectins read out glycans together with RNA, in single cells and in tissue. bioRxiv, 2026
MicroCart
Maps host cells and gut microbes together, across protein, RNA and glycan imaging. Nature Communications, 2025 Code and data for MicroCart
EpicMIBI
Imageable epitope barcodes that track tumor clones inside tissue. Cancer Cell, 2022
REDSEA
Corrects signal that spills between neighboring cells in multiplexed images. Frontiers in Immunology, 2021 Code and data for REDSEA
MIBI guide
Our MIBI workflow for FFPE tissue, step by step. Methods in Cell Biology, 2024 Code and data for MIBI guide

AI for biology and medicine

Multiplexed fluorescence image of a lymph node follicle edge, with stained cell membranes.

We build models that learn from single cells, their neighborhoods and whole tissue images.

KRONOS
A foundation model for spatial proteomics, trained on more than 47 million image patches covering 175 protein markers. arXiv, 2025 Code and data for KRONOS
CellLENS
Learns cell identities from markers, neighbors and tissue images together. Nature Immunology, 2025 Code and data for CellLENS
MAPS
Pathologist-level cell type annotation from spatial proteomics images. Nature Communications, 2024 Code and data for MAPS
MARIO
Matches single cells across datasets that share only a few markers. Nature Methods, 2023 Code and data for MARIO
COSIE
Combines histology, epigenome, transcriptome, proteome and metabolome into one map, across tissue sections, individuals and platforms. bioRxiv, 2026

Human-centered discovery and translation

Multiplexed fluorescence image of diffuse large B-cell lymphoma, with fibroblast markers outlining large bright cells.

We study viral infection, cancer and immune disease in human tissue. With our clinical partners, we work to turn what we find into better care for patients.

Viral pathogenesis

Viruses are the best molecular biologists. We look at virus-host interactions in their native tissue, to see how viruses get around host defenses. Projects include HIV, SIV, SARS-CoV-2, EBV and Ebola virus.

Selected papers

Cancer biology

“Cancer cells grow faster, adapt better. They are more perfect versions of ourselves” (Siddhartha Mukherjee, The Emperor of All Maladies). We study cancers in their native tissue, to find better ways to predict and treat them. Projects include lymphomas, leukemia and pancreatic cancer.

Selected papers

Immune dysregulation

How do our defenders become the enemy? We study how the body’s defenses go awry, to build better tools to keep them in check. Projects include HIV, lymphomas, chronic rhinosinusitis, inflammatory bowel disease, autoimmune hepatitis and neural-immune dysfunction.

Selected papers

Join us

We are always looking for talented future colleagues on both the computational and experimental sides.

How to join the lab