BLACKSBURG, Va., November 14, 2012 – Reinhard Laubenbacher has been named an inaugural Fellow of the American Mathematical Society.

Laubenbacher, a professor and director of education and outreach at the Virginia Bioinformatics Institute, and a professor in the Virginia Tech mathematics department, was named to the prestigious list of Fellows on November 1, 2012. The program was started by the Society as a means of recognizing mathematicians as distinguished by their peers, giving them better opportunities for awards and promotion, and offering support to mathematicians seeking leadership roles.

Laubenbacher is being recognized for his research that brings to bear mathematical tools and algorithms on problems in molecular systems biology and biomedicine, in particular cancer biology. He has served as an expert witness before the U.S. Congress about ways of strengthening interdisciplinary collaborations between the life sciences and mathematics.

The American Mathematical Society was founded in 1888 and furthers mathematical research and scholarship. It serves the mathematical community through publications, meetings, advocacy, and other programs. It currently boasts 30,000 individual members and 570 institutional members around the world.

About the Virginia Bioinformatics Institute
The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science, combining information technology, biology and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, computational immunology, statistics, economics, synthetic biology and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental and wider communities.


Tiffany Trent

November 14, 2012