University of Minnesota | Rochester

Biomedical Informatics and Computational Biology

World-Class Resources, World-Changing Programs

Computation is the vanguard of today’s biomedical research. UMR’s Biomedical Informatics and Computational Biology (BICB) program is the vanguard of biomedical computation. We combine the strengths and skills of eight internationally renowned partners - University of Minnesota Rochester, University of Minnesota Twin Cities, Mayo Clinic, IBM, The Hormel Institute, Cray, Inc., National Marrow Donor Program (NMDP), and the Brain Sciences Center - to create a one-of-a-kind opportunity for research and graduate education at the intersection of quantitative sciences, biology, and medicine.

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News & Announcements


For the 2nd Annual BICB Industry Symposium coming August 2014! For more information click here.


Brain Sciences Center partners with Biomedical Informatics and Computational Biology Program

The Biomedical Informatics and Computational Biology (BICB) Program recently welcomed the Brain Sciences Center at the Minneapolis Veterans Affairs Health Care System as a program partner.

“We are very pleased to add the Brain Sciences Center to our collaboration,” says Claudia Neuhauser, vice chancellor for academic affairs at UMR and director of graduate studies for the BICB Program. “The center is well-known for its cutting-edge research and educational activities, and we see many opportunities for the BICB Program and the center to complement each other and help advance the work of both.”  Find out more >>




Scott Simpkins, BICB Ph.D. student, receives National Science Foundation (NSF) Fellowship Honor. Read more >>

Dr. Claudia Neuhauser, named to Fellows of the American Mathematical Society (AMS) for 2013.  Read more >>

Susan Van Riper, BICB Ph.D. student, receives Doctoral Dissertation Fellowship from the University's Graduate School.

Dr. Claudia Neuhauser, Vice Chancellor for Academic Affairs at the University of Minnesota Rochester, Elected as 2011 Fellow of the American Association for the Advancement of Science.

Federal Grant
Computational Strategies for Mapping Genetic Interaction Networks, $711,269 NIH award to Chad Myers, Ph.D., 4/1/10–11/30/12. This award will support work on computational methods for deriving quantitative measurements of genetic interactions from colony-based growth assays.  This work will also involve developing strategies for computationally directed iterative genetic interaction screens.

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