Visualization of copy number data from whole genome sequencing Turning data into actionable insights

The Division of Computational Biology at Mayo Clinic develops, maintains and promotes state-of-the-art analytical and bioinformatics methods. Through methodological innovation, highly interactive collaborations and research services for Mayo Clinic investigators, members of the division use data-driven methods to improve human health.


The Division of Computational Biology leads research in statistical genomics, bioinformatics and computational biology. We develop and apply innovative analytical techniques for biomedical discovery and translational research across a range of medical conditions. Our division partners with scientists and clinicians throughout Mayo Clinic to carry out cutting-edge research to enhance the understanding of disease and improve health care.

Key areas of research in the division encompass analysis of biological data including:

  • Genomics and transcriptomics
  • Epigenomics
  • Proteomics
  • Metabolomics
  • Microbiome
  • Digital pathology and imaging

The Division of Computational Biology is part of the Department of Quantitative Health Sciences at Mayo Clinic. The division has 25 faculty members, and a total of almost 100 members with doctoral-, master's- or bachelor's-level training. Members of the Division of Computational Biology lead initiatives for study design and data acquisition, analysis, and interpretation for biomedical discovery and clinical translation. Real-world challenges motivate faculty members and staff to develop, maintain and promote state-of-the-art analytical methods, tools and expertise.

The Division of Computational Biology is an integral part of research throughout Mayo Clinic including key programs and centers such as the Center for Individualized Medicine and Mayo Clinic Comprehensive Cancer Center. The division's researchers also collaborate extensively nationally and internationally and participate in numerous research networks and consortia.

Division leadership

Joanna M. Biernacka, Ph.D.

  • Division Chair

Christopher P. Kolbert, M.S.

  • Research Operations Manager