Sheng Wang
Assistant Professor
Develops generative AI models for biomedicine, including pathology foundation models and chromatin structure prediction.
Sheng Wang's lab at UW works on medical imaging & healthcare AI, proteins, drugs & materials and generative & foundation models. 25 papers since 2023, 14 at top venues, mostly Nature and Nature Communications. 7 PhD students. 2 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 56%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 2
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 4
- 9 papers2024 · T1 6
- 8 papers2023 · T1 4
T1 venuesOtherVenues: Nature, Nature Communications, Nature Machine Intelligence, AAAI, Cell
Research focuspaper titles that use each topic's words
- Generative & foundation models8 papers
- Medical imaging & healthcare AI1 paper
- pathology1 paper
- Proteins, drugs & materials0 papers
- develops generative0 papers
Paper list
From the lab homepage.
20262 papers
- Nature Methods (Accept in Principle)A generalizable Hi-C foundation model for chromatin architecture, single-cell and multi-omics analysis across species (opens in a new tab)
- Nature Biomedical Engineering (Accept in Principle)OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation (opens in a new tab)
20256 papers
- Nature Communications (T1)A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings (opens in a new tab)
- Nature (T1)A molecular cell atlas of mouse lemur, an emerging model primate (opens in a new tab)
- PatternsHierarchical affinity landscape navigation through learning a shared pocket-ligand space (opens in a new tab)
- Nature (T1)Mouse lemur cell atlas informs primate genes, physiology and disease (opens in a new tab)
- Cell (T1)Multimodal AI generates virtual population for tumor microenvironment modeling (opens in a new tab)
- Cell GenomicsPisces: A multi-modal data augmentation approach for drug combination synergy prediction (opens in a new tab)
20249 papers
- Nature Machine Intelligence (T1)A bioactivity foundation model using pairwise meta-learning (opens in a new tab)
- Nature Methods (T1)A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities (opens in a new tab)
- The New England Journal of Medicine AI (NEJM AI)A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs (opens in a new tab)
- Nature (T1)A whole-slide foundation model for digital pathology from real-world data (opens in a new tab)
- Nature Communications (T1)An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome
- ISMBEnhancing Hi-C contact matrices for loop detection with Capricorn, a multi-view diffusion model (opens in a new tab)
- ICLR (T1)MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
- Nature Machine Intelligence (T1)Poisoning medical knowledge using large language models (opens in a new tab)
- Journal of Biomedical InformaticsRetrieval augmentation of large language models for lay language generation
20238 papers
- CIKM (T1)Foreseer: Product aspect forecasting using temporal graph embedding
- ISMBGemini: Memory-efficient integration of hundreds of gene networks with high-order pooling
- AAAI (T1)GraphPrompt: Graph-based Prompt Templates For Biomedical Synonym Prediction
- Nature Communications (T1)Multilingual translation for zero-shot biomedical classification using BioTranslator
- RECOMBPisces: A combo-wise contrastive learning approach to synergistic drug combination prediction
- Journal of the American Medical Informatics Association (JAMIA)POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study
- Nature Machine Intelligence (T1)Sagittarius: Extrapolating Heterogeneous Time-Series Gene Expression Data (opens in a new tab)
- ISMBSupervised biological network alignment with graph neural networks
Where alumni went2 listed
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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