Hai Shu

Dr. Hai Shu is an Assistant Professor in the Department of Biostatistics at NYU's School of Global Public Health. He earned his Ph.D. in Biostatistics from the University of Michigan and B.S. from Harbin Institute of Technology. Previously, he was a Postdoctoral Fellow at MD Anderson Cancer Center.

Education:

• Ph.D. in Biostatistics - University of Michigan
• B.S. in Information and Computational Science - Harbin Institute of Technology

His research focuses on high-dimensional data analysis, machine/deep learning, and medical image applications in neurodegenerative diseases and oncology. He develops statistical methods for analyzing complex biomedical data from neuroimaging and genomics.

His publications demonstrate consistent focus on developing novel statistical methods for medical imaging data, with increasing emphasis on deep learning approaches and multi-modal data integration in recent years.

Awards:

• NYU GPH Goddard Award (2023)

He mentors graduate students and serves as associate editor for Statistica Sinica and The American Statistician. His NIH-funded research includes studies on neuroimaging analysis and AI applications in healthcare.

Leads research in medical image analysis and statistical learning, collaborating with neuroscience and oncology teams to develop computational tools for disease diagnosis and progression tracking.