Sheng Wang
Sheng Wang’s research integrates human behavioral data with artificial intelligence to advance diagnostic imaging analysis. His past work involved pioneering the use of eye-tracking to enhance computer-aided diagnosis and developing foundational models that combine large language models with medical imaging for interactive and interpretable diagnostic tools. Currently, his research leverages human behavior insights to further improve computational pathology foundation models, optimizing the analysis of Whole Slide Images (WSIs) by significantly reducing processing time and enhancing diagnostic accuracy. Sheng received his Ph.D. from Shanghai Jiao Tong University and is now a postdoctoral researcher in the Department of Pathology & Laboratory Medicine at the Perelman School of Medicine.