Biostatistics and Bioinformatics


The Department of Biostatistics and Bioinformatics houses the CCSG Biostatistics Core Resource, William Brady, PhD, Director and Kristopher Attwood, PhD, Associate Director; the Bioinformatics Core Resource, Song Liu, PhD, Director and Jianmin Wang, PhD, Co-Director; the Statistical Genetics and Genomics Resource, Qianqian Zhu, PhD, Director; and the Clinical Data Network, Carmelo Gaudioso, PhD, Director.

The MS program in Bioinformatics and Biostatistics is administered through the University at Buffalo School of Public Health and Health Professions, Department of Biostatistics. For questions about program requirements or curriculum, please contact Noreen McGuire, Graduate Program Coordinator, at or 716-829-6142.

The Department also has a close working relationship with the Buffalo Office of the NRG Oncology Statistics and Data Management Center, also located at RPCI. Department faculty members have expertise in computational intensive statistical methods, clinical trial design and analysis, statistical genetics and genomics, bioinformatics, applied systems biology modeling and epidemiological study design and analysis.


Biostatistics Core Resource

The Biostatistics Resource ensures that biostatistical, bioinformatics and biomathematical support is readily available to basic, clinical and population-oriented RPCI collaborators. Services include exploratory data analysis; grant writing (statistical methods sections); hypothesis formulation; experimental design; fitting models to data; simulating data from models; developing customized data mining software and developing novel methods based on emerging technologies (e.g. cutting-edge microarray platforms, computer-intensive statistical methods).

Biostatistics Core Resource:

Statistical Genetics & Genomics Resource

The goal of the Statistical Genetics & Genomics Resource (SGGR) group, headed by Qianqian Zhu, PhD, is to develop a sustainable and nationally recognized Biotechnical Analytic Resource for Roswell Park Cancer Institute (RPCI). The mission of the analytic resource will be to develop novel statistical methodologies and software applications for the analysis of data generated by experiments utilizing emerging biotechnologies. Further, SGGR will assist in the development and optimal design of nascent biotechnologies at RPCI.

The specific objectives for the analytic resource include developing custom quality-control metrics and custom diagnostics with the ability to detect failures in high-throughput technologies utilized at RPCI. Further, SGGR will develop and advance modeling tools and methods for normalization and standardization of biological signals.

The mission of the visualization aspect will be to develop custom visualizations for large high-throughput biological datasets. The visualization aspect of SGGR is intimately connected with the analytics mission since developing QC methods and normalization methods will require novel methods to visualize the data and assess the quality of the analytics from biological signals.

A major strength for the SGGR is the ready access to the resources and expertise of the University at Buffalo’s Center for Computational Research (CCR). Specifically, SGGR will utilize the CCR’s state-of-the-art parallel computing, as well as their extensive expertise in the reconstruction of biological imaging data.

SGGR Core Resource:

Bioinformatics Resource

The Bioinformatics Shared Resource supports the research needs of RPCI investigators with respect to experimental design, data integration, as well as data analysis of clinical, laboratory, and population-based studies utilizing high-throughput bioinformatics technologies. The mission is to advance cancer research and cancer treatment by providing an array of bioinformatics shared research and services to the Institute community through collaboration. Our expertise lies in developing and utilizing state-of-the-art bioinformatics algorithms to design, analyze and integrate various voluminous “-omics” data for a better understanding of the molecular mechanisms underlying human cancer initiation, progression and prognosis.

Bioinformatics Core Resource:

Clinical Data Network Resource

The Clinical Data Network Shared Resorce (CDN) provides data services to investigators in support of translational research at Roswell Park Cancer Institute.

The primary focus of the CDN is to provide structured access to and use of real-time reliable clinical data for the advancement of non-interventional studies at Roswell Park Cancer Institute.

The CDN provides the infrastructure and processes to establish and monitor data standards, quality, integration, and distribution across RPCI. The CDN office develops and implements tools and methods to streamline the collection, storage, processing, and distribution of data to researchers.

Clinical Data Network Core Resource:


Biostatistics and SGGR
Research Studies Center 4th Floor
Elm and Carlton Streets.
Buffalo, NY 14263

Center for Genetics and Pharmacology 1st Floor
Roswell Park Cancer Institute
Elm and Carlton Streets.
Buffalo, NY 14263

Clinical Data Network
Gratwick Basic Science Building, Room 618
Roswell Park Cancer Institute
Elm and Carlton Streets
Buffalo, New York 14263


  • Microcomputer Workstations
  • Statistics / Mathematics / Graphics Software

Operating Schedule

Weekdays, 8 a.m. – 5 p.m.

Using the Facilities

Investigators should contact the team regarding use of the collaborative services of the Biostatistics, Statistical Genetics & Genomics, and Bioinformatics Core Resources.  Contact information is listed below.


Priority is given to investigators who have outside funding, an approved clinical trial, or are preparing protocols and/or grant applications.

Contact Information

To request biostatistical support, please place a request using LIMS.

William Brady, PhD
Director, Biostatistics Resource
Phone: 716-845-3803

Kristopher Attwood, PhD
Chair; Associate Director
Phone: 716-845-1300,x5656

Song Liu, PhD
Vice Chair for Bioinformatics, Director, Bioinformatics Resource
Phone: 716-845-1628

Jianmin Wang, PhD
Co-Director, Bioinformatics Resource
Phone: 716-845-1499

Qianqian Zhu, PhD
Director, Statistical Genetics & Genomics Resource
Phone: 716-845-1300,x5659

Pamela Jarrett
Administrative Aide
Phone: 716-845-1300,x6496

Ellen Sanders-Noonan
Department Administrator
Phone: 716-845-8654