Explore Our Department

Welcome to the Department of Biomedical Data Science

The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data.

Our Mission

The Department of Biomedical Data Science (DBDS) is an academic research community, comprised of faculty, students, and staff, whose mission is to advance precision health by leveraging large, complex, multi-scale real-world data through the development and implementation of novel analytical tools and methods.

What is Biomedical Data Science?

Biomedical Data Science “spans a range of biological and medical research challenges that are data intensive and focused on the creation of novel methodologies to advance biomedical science discovery.” The term “data science” describes expertise associated with taking (usually large) data sets and annotating, cleaning, organizing, storing, and analyzing them for the purposes of extracting knowledge. It merges the disciplines of statistics, computer science, and computational engineering” (Annual Review of Biomedical Data Science).

Kristy Carpenter awarded NRSA F31 Diversity fellowship from NIGMS

The purpose of the NRSA Individual Predoctoral Fellowship to Promote Diversity in Health-Related Research (F31) fellowship award is to enhance the diversity of the health-related research workforce by supporting the research training of predoctoral students from population groups that have been shown to be underrepresented in the biomedical research workforce.

Congratulations, Kristy!

Biomedical Data Science (DBDS) Graduate Program

Our mission is to train future research leaders to design and implement novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine.