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Hai Shu is an Assistant Professor in the Department of Biostatistics at New York University, holding a Ph.D. in Biostatistics from the University of Michigan. His academic journey also includes a B.S. in Information Computational Science from Harbin Institute of Technology in China. Dr. Shu's research interests are centered on high-dimensional data analysis with special emphasis on data integration, employing techniques from machine learning and deep learning. He is particularly focused on medical image analysis, including modalities such as PET, MRI, and mammography, and has applied his expertise to significant areas such as Alzheimer's disease, brain tumors, and breast cancer. His work has been published in top-tier journals and conferences, including the Annals of Statistics and the Journal of the American Statistical Association. In addition to his teaching position at NYU, he has contributed as a reviewer for various journals in related fields. Prior to his role at NYU, he was a Postdoctoral Fellow at the University of Texas MD Anderson Cancer Center, where he further honed his skills in biostatistics and data analysis.
Department of Biostatistics, University of Texas MD Anderson Cancer Center • USA
Focused on biostatistical methodologies and applications in cancer research.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.