Research News

Shuai Jiang Wins Best Poster Award at the Advancing Computational Biology Symposium

April 10, 2014

CBI affiliate Shuai Jiang, under the tutelage of CBI faculty member Dr.

The Risks—and Rewards—of Big Data, a Discussion

April 10, 2014

Dr. Keith Crandall was a panelist for the discussion of “Security, Storage, and Analysis: A Panel Discussion on Big Data” held at a GW alumni reception in Northern Virginia.

Virginia Innovation Partnership Grant Awarded to GW’s Computational Biology Institute

April 10, 2014

CBI plans to commercialize new methods of pathogen diagnostics using a novel combination of genomics and informatics.

Postdoctoral Fellow in Biodiversity Informatics

March 24, 2014

The University of São Paulo (Department of Botany) and The George Washington 
University (Computational Biology Institute) seek candidates for a postdoctoral 

NIH and GW Collaborate to Accelerate Genomics Research Using Internet2’s 100G Network

March 04, 2014

CBI affiliate Dr. Raja Mazumder discusses working with Colonial One and genomics data in partnership with NIH's Internet2.

Interdisciplinary Research Highlighted at Board Meeting

February 10, 2014

The university’s Global Women’s Institute, Computational Biology Institute and newly-announced Sustainability Institute were showcased at February's Board of Trustees meeting.

Dr. Keith Crandall Named a Fellow of the American Association for the Advancement of Science

November 27, 2013

Dr. Crandall is among the 388 newly-elected AAAS Fellows who were recognized by their peers for their efforts to advance science or its applications.

About

GWU
The Computational Biology Institute (CBI) at the George Washington University (GW) is an interdisciplinary effort building on GW’s strengths in life sciences and computational science, in addition to the wealth of research centers in the Washington, DC-area. By bringing together GW experts and scholars from partner institutions, CBI will provide cutting edge research, enable broad educational activities in computational biology and provide computational biology services to university researchers and public and private partners.

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