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
-
Departmental Annual Report
Annual Report 2025-2026You can learn more about our students and faculty our Department Annual Reports accessible here. Our 2025–2026 is now available below!
-
Biostatistics Research Labs
Explore our LabsOur Biostatistics research groups labs a collaborative environment where students receive expert mentorship and engage in high-impact, action-based learning. Explore our faculty-led labs below to see how we are transforming data into public health solutions.
-
-
Biostatistics Consultation & Collaboration Core (BC3)
Lear moreThe mission of the Biostatistical Collaboration and Consultation Core (BC3) is: (1) to be a high-quality resource for robust, reliable, and reproducible statistical support; and (2) to educate and train the next generation of collaborative statisticians.
-
Student Life
Click here to read about and view photos from past student life events.
-
Pathways into Quantitative Aging Research summer program
The PQAR summer program will host the program in the Summer of 2026! Visit the website to learn more here.
Contact Us
- Email: gph.bsadmin@nyu.edu
- Twitter: @NYUGPHBiostats
- We are delighted to share that fourth-year PhD student Taehyo Kim has had his first dissertation project accepted for publication in the prestigious journal Medical Image Analysis. His paper, titled "A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data," marks an exciting milestone in his doctoral research. Please join us in extending a huge congratulations to Taehyo on this achievement!
- Congratulations, Ruby Yuyu Chen for successfully defending her dissertation! Please join us in celebrating this incredible milestone! Ruby is our department's second PhD student to defend.
- Congratulations to Dr. Hai Shu on being promoted to Associate Professor of Biostatistics, with tenure! This is well-deserved recognition of Hai's accomplishments in research, teaching, and mentoring and of his many contributions to our department, to GPH and to our profession. We look forward to Dr. Shu's future achievements in all of these dimensions and welcome him to our senior faculty!
Biostatistics Seminar: “Marginal Risk Ratio Estimation Under Informative Cluster Sizes: Performance, Applications, and Collaborative Extensions” ft. Jemar Bather, PhD - September 10th @ 3:30pm
Professional Development: “Applying to a PhD Program Panel” - September 15th @ 10:00am
Journal Club: “TBD” presented by Prof. Yajun Mei - September 16th @ 11:30am
Faculty Research Projects: “Faculty Research Projects” - September 17th @ 3:00pm
Biostatistics Seminar: “TBD” ft. Pananjady, Ashwin, PhD - September 23rd @ 10:00am
Biostatistics Seminar: “TBD” ft. Heng, Siyu, PhD - September 24th @ 2:00pm
Biostatistics Seminar: “TBD” ft. Wang, Yuhao, PhD - September 28th @10:00am
Special Event: Biostatistics Lecture ft. Alex Dahlen, PhD - October 1st @ 3:00pm
Professional Development: “Power and Sample Size 1: The Basics” ft. Chuck Huber, PhD - October 22nd @ 2:00pm
Professional Development: “Power and Sample Size 2: Simulation Methods” ft. Chuck Huber, PhD - October 22nd @ 3:30pm
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."