Hai Shu (舒海)
Assistant Professor, Department of Biostatistics
Affiliated Faculty, Center for Health Data Science
School of Global Public Health, New York University
Address: 708 Broadway, Room 759, New York, NY 10003, USA
Email: hs120 at nyu dot edu or hai.shu at nyu dot edu
Research Interests:
High-dimensional statistics (esp., data integration)
Machine learning, Deep learning (Artificial Intelligence)
Medical image analysis, Genomic data analysis
Alzheimer’s disease, Brain tumors, Breast cancer
Research Support:
NIH RF1AG098697 (Role: PI; 2025–2029)
NYU ADRC REC Scholars Program (2025–2026)
NYU Discovery Research Fund for Human Health (Role: Co-PI; 2024–2026)
NYU GPH Research Support Grant (Role: PI; 2024–2025)
NYU GPH Goddard Junior Faculty Fellowship (2023–2024)
NIH R21AG070303 (Role: PI; 2020–2023)
Editorial Activities:
Associate Editor for Reproducibility (2025–present), Journal of the American Statistical Association
Associate Editor (2025–present), Statistica Sinica
Associate Editor (2025–present), The American Statistician
Editorial Board Member (2025–present), BMC Artificial Intelligence
Education & Training:
Postdoctoral Fellow, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, USA, 2016–2019
Ph.D. in Biostatistics, Department of Biostatistics, University of Michigan, Ann Arbor, USA, 2012–2016
M.S. in Biostatistics, Department of Biostatistics, University of Michigan, Ann Arbor, USA, 2010–2012
B.S. in Information & Computational Science, Department of Mathematics, Harbin Institute of Technology (哈尔滨工业大学), China, 2006–2010
On PhD admissions: PhD admissions in our department are determined by the admissions committee rather than by individual faculty members. I am unable to respond to emails regarding PhD admissions. If you are interested in working with me as a PhD student, please apply directly to our PhD program and list me as a potential advisor.
On Research Assistantship: The minimum required coursework includes Calculus, Linear Algebra, and Linear Regression, and the minimum required skills are Deep Learning, Python, and Unix. If you are interested, please email me your CV, undergraduate and graduate transcripts, and a sample of your Python code. If you do not receive a reply within one week, you may assume you were not selected.