About the Department
Department of Biostatistics at NYU GPH is engaged in three inter-related activities that aim to improve Public Health through rigorous research and that educate future practitioners, leaders and researchers. We strive for excellence in:
- innovative and groundbreaking methodological research that is relevant to critical Public Health research
- collaborative research in pressing and important Public Health issues;
- education and training of students from diverse backgrounds in cutting edge statistical methods for design and analysis of studies used in Public Health research, as well as theoretical foundations that will serve as the basis for future innovations.
We are experiencing major events in Public Health and Biostatistics has many critical contributions to make. We welcome you to our department and invite you to explore all of our facets in these webpages.
Prominent Links
Our Efforts in Justice, Equity, Diversity, and Inclusion (JEDI)
Our faculty were recently featured in the Amstat News cover story recognizing academic departments for JEDI efforts.
Student Life
Click here to read about and view photos from past student life events.
Contact Us
- Email: gph.bsadmin@nyu.edu
- Twitter: @NYUGPHBiostats
- Congratulations to Dr. Hai Shu, Yangbin Chen, Tianze Tang, and Taehyo Kim on a new publication titled “UKAN-EP: enhancing U-KAN with efficient attention and pyramid aggregation for 3D multi-modal MRI brain tumor segmentation.” Yanbing and Tianze are MS alumni who graduated from are program in 2025, and are currently PhD candidates at Penn State University, and Medical University of Vienna respectively. Taehyo Kim is a PhD candidate at GPH.
- Congratulations to Prof. Hai Shu on his new, 4-year RF1 grant from NIH titled "SCH: Novel Multi-View Statistical Machine Learning for Alzheimer's Disease"
- The Department of Biostatistics welcomes Boyu Fan, our new first year PhD student. Say hello and welcome him if you see him around the department. Boyu is coming from UC Berkeley where he studied Data Science, Statistics, and Economics. His areas of interest lie in image segmentation and uncertainty quantification and aims to develop transparent and reliable methods to augment decision-making. Welcome Boyu!
- The Department of Biostatistics celebrates all 2025 graduates of the program. Special congratulations to all graduates who have gone to secure admission to prestigious PhD program.
- We'd like to congratulate Dr. Wen Zhou on two new awards:
- "DMS/NIGMS 2: Novel Statistical Methods, Algorithms, and Pipelines for Learning Omics Data with Complex Heterogeneity." 2025–2029. NIH. PI
- "Collaborative Research: Statistical Modeling and Inference on Directed Network Data for Understanding Faculty Hiring Dynamics." 2025-2028. NSF. PI
- We are excited to share that Dr. Yang's project titled “Multi-task representation learning for matrix completion with applications to social and behaviour data” has been selected for funding through the prestigious LSE–NYU Research Seed Fund. This project will develop new multi-task learning methods for matrix completion, enabling more accurate predictions by allowing latent representations to adapt across different types of tasks. The methods will be applied to student performance data from online learning platforms and extended to broader applications, including healthcare, economics, and other social and behavioral data.
- Dr. Yang Feng, has been appointed as the Reviews Editor for the Journal of the American Statistical Association (JASA) and The American Statistician (TAS). His three-year term begins in January 2026, during which he will handle all review articles submitted to the journals, including JASA, which is considered the premier journal of statistical science. Congratulations to Dr. Feng!
- (Archived news items)
- Student Life: Tea Break - December 8th @ 12:00pm
- Biostatistics Holiday Party – December 10th @ 4:00pm
Check Out Our Past Seminars & Events
Christopher Park, MPH '19
"Critical and conceptual understanding of data is necessary for public health research. My biostatistics courses have helped me to develop statistical analytic skills that shape the way I think about data management and utilization in a way that’s fit for public health discoveries."
Ejiro Gbaje, MPH '19
"I am fascinated by the power of biostatistics; it uses mathematics to paint pictures of underlying conditions."
Yan Zhang, MPH '19
"The ability to extract health-related patterns from uncertainty is the undeniable beauty of biostatistics."