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Saining Xie is an Assistant Professor at the Courant Institute of Mathematical Sciences at New York University and a Research Scientist with Google DeepMind. With a background that includes a research scientist role at Facebook AI Research, he is dedicated to advancing the understanding of how human and animal knowledge arises from sensory experiences and interactions with the environment. His research focuses on achieving human-like intelligence through the development of systems that learn directly from continuous real-world sensory input, moving beyond language-only systems. He has contributed significantly to representation learning in computer vision and is involved in activities that push the boundaries of multimodal intelligence. Xie's work includes co-developing architectures widely adopted in representation learning and has led to the generation of diffusion transformers, which form the backbone of current generative AI systems. He has received several accolades, including the Marr Prize Honorable Mention, the NSF CAREER Award, and the AISTATS Test-of-Time Award. Saining has collaborated with many talented students and researchers, continually pushing innovation within the AI field.
Courant Institute, NYU • New York, NY, USA
Teaching and research in computing and artificial intelligence.
Google DeepMind •
Conducting research in generative AI and multimodal intelligence.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.