Shanghua Gao
He is currently a Research Fellow at Harvard University, where his work centers on developing foundation models and universal representation learning methods to enhance understanding and interaction with the real world. His research emphasizes general techniques, including AI agents, generative modeling, self-supervised learning, and the design of foundation models. Broadly, his focus is on advancing these models to pursue artificial general intelligence across various fields such as computer vision, biomedical applications, and time series analysis. His projects have gained significant traction, with over 5,000 citations and thousands of GitHub stars, and some have successfully transitioned into real-world products.