Sheng Wang

Sheng Wang is an Assistant Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington Seattle. His work bridges Artificial Intelligence and Biomedical Applications through foundation models, generative AI, and large-scale biomedical data analysis. He holds a B.S. and Ph.D. in Computer Science from Peking University and University of Illinois at Urbana-Champaign, followed by postdoctoral research at Stanford School of Medicine.

Research Interests:

• Developing generative AI for biomedical imaging (e.g., 40,000x40,000 pixel digital pathology via GigaPath)
• Chromatin structure prediction using neural radiance fields (CryoNeRF)
• Genomics-based drug discovery through multi-modal data augmentation (Pisces)
• Multi-omics analysis with foundation models

Collaborations: His work is deployed at institutions like Mayo Clinic, Chan Zuckerberg Biohub, and Providence Genomics. Current projects are supported by R01 and R21 grants for biomedical imaging and chromatin modeling.

Teaching:

• Spring: AI for Drug Discovery
• Fall: AI for Medicine