Expertise: Computational Biology; Generative AI; Machine Learning; Natural Language Processing
Sheng Wang is an assistant professor in the School of Computer Science and Engineering at the University of Washington Seattle. He obtained his B.S. degree in Computer Science from Peking University, Ph.D. degree in Computer Science from University of Illinois at Urbana Champaign, and conducted postdoc training at Stanford School of Medicine.
Sheng is currently interested in developing large-scale models for biomedical applications, with a focus on digital pathology, medical imaging foundation models, chromatin structure prediction, and genomics-based drug discovery. His research has been published in top venues such as Nature, Science, Nature Biotechnology, Nature Methods, Nature Machine Intelligence and The Lancet Oncology, and used by major biomedical institutes, including Mayo Clinic, Chan Zuckerberg Biohub, UW Medicine, and Providence genomics.