
Single-cell foundation models
Representation learning, foundation models, interpretability and reliability for cellular states and biological contexts.
FOUNDATION MODELSAI FOR SINGLE-CELL SCIENCE
Connecting artificial intelligence and single-cell science to move from cellular atlases toward biological mechanisms.
ABOUT AI4SC
AI4SC is a research institute and open community at the frontier of artificial intelligence and single-cell science.
We focus on consequential scientific questions: learning transferable biology from sparse, heterogeneous data; grounding predictions in testable mechanisms; and turning methods into open resources that researchers can use.
Learn more about AI4SC
RESEARCH DIRECTIONS
Four connected directions span the path from representation and integration to intervention and transcript-level mechanisms.

Representation learning, foundation models, interpretability and reliability for cellular states and biological contexts.
FOUNDATION MODELS
Joint understanding of transcriptomic, epigenomic, proteomic and spatial information within tissues.
MULTIMODAL & SPATIAL
Learning perturbation response and cell-state transitions to connect prediction, mechanism and intervention.
PERTURBATION & CAUSALITY
Resolving splicing, isoforms and regulation to extend the reach and resolution of single-cell transcriptomics.
LONG-READ & ISOFORMSFEATURED PLATFORM
AI4SC builds open, traceable and reusable research infrastructure alongside new computational methods.
Open scTHREAD Our platform principlesOPEN COMMUNITY
We connect AI, computational biology, single-cell technology, discovery science and translational medicine to shorten the distance from algorithms to insight.
How to participateCOLLABORATE
WITH AI4SC
BUILD WITH US
We welcome long-term collaborations with computational, experimental, clinical and industry partners around real scientific questions.
Talent and participation