Mentored Career Development Awards Program.

About Us

Keyboard.

The Informatics Core develops novel informatics tools and creates common data models, which enhances our ability to share and use data effectively and responsibly. We have created several tools and services that are available to translational research teams across our campus and the CTSA consortium in order to:

  • Formalize communication between software platforms, pipelines, and protocols using rigorous ontologies.
  • Perform state of the art computational drug discovery utilizing cutting edge techniques for multiscale modelling of structures, functions, interactions, and their evolutionary relationships.
  • Interface electronic or other medical records with clinical research data systems.
  • Address health disparities with a holistic approach to developing clinical and translational science pipelines that considers impact on all patients and stakeholders.

In addition to services offered, we diligently recruit and train the next generation of informatics professionals in Undergraduate, Master’s, PhD, and Postdoctoral programs. We support trainees through our Research Fellowships in Biomedical Informatics (NLM T15, NLM R25, and BD-STEP).

About Biomedical Informatics at UB

We foster understanding and productive use of informatics principles and techniques that facilitate safe, high-quality, and systems-based healthcare and biomedical research in Western New York, as detailed below.

  • Lead and collaborate in the development of a shared common infrastructure for the use and analysis of bioinformatic, clinical, and biomedical research data
  • Play a leadership role in the use of electronic resources to enhance patient care and safety
  • Teach best practices in quality and safety and then providing tools to accomplish the same
  • Create a plan to install a genomic data analysis pipeline that will facilitate clinical genomic research for UB scientists
  • Develop open-source software to integrate genomic and phenomic data, allowing researchers to perform translational research and genome-wide association studies more easily, efficiently, and inexpensively

Goals of the Informatics Core

  • Establish a translational science pipeline to enhance our ability to integrate multiple types of data to share results more effectively between researchers and to translate the results of successful research more rapidly into practice
  • Create a common phenotypic and genotypic data model for use by researchers to enable reproducibility of experiments and standardize the representation of research data and research results
  • Develop novel health informatics tools and data sharing tools and share them with the CTSA consortium
  • Address heath disparities in an integrated fashion that considers data sharing, common intercommunication systems, and novel tools and data generation