© 2000 - 2014 Virginia Bioinformatics Institute
Sunday, 20 April 2014
, , Ph.D.
Faculty - ,

Adjunct Faculty


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  • Administrative Assistant: Betsy Williams
    Phone: (540) 231-1649
    Email: betsyw@vbi.vt.edu

Professional Preparation

  • Northwestern University, Mathematics, Ph.D., 1985

Research Interests

  • Systems biology
  • cancer systems biology
  • Mathematical biology
  • Applied discrete mathematics
  • Symbolic computation


Dr. Laubenbacher has been a Professor at the Virginia Bioinformatics Institute and a Professor in the Department of Mathematics at Virginia Tech since 2001. He is also an Adjunct Professor in the Department of Cancer Biology at Wake Forest University in Winston-Salem (NC) and Affiliate Faculty in the Virginia Tech Wake Forest University School of Biomedical Engineering and Sciences. Prior to these appointments Dr. Laubenbacher was Professor of Mathematics at New Mexico State University. He has served as Visiting Faculty at Los Alamos National Laboratories, was a member of the Mathematical Science Research Institute at Berkeley in 1998, and was a Visiting Associate Professor at Cornell University in 1990 and 1993. Current interests in Dr. Laubenbacher’s research group include the development of mathematical algorithms and their application to problems in systems biology, in particular the modeling and simulation of molecular networks. An application area of particular interest is cancer systems biology, especially the role of iron metabolism in breast cancer.

Selected Publications

Jarrah AS, Laubenbacher R, Stigler B, Stillman M. Reverse-engineering of polynomial dynamical systems. Advances in Applied Mathematics. 2007;39:477–489.

Laubenbacher R, Stigler B. A computational algebra approach to the reverse engineering of gene regulatory networks. Journal of Theoretical Biology. 2004;229:523–537.

Hower V, Mendes P, Torti FM, et al. A general map of iron metabolism and tissue-specific subnetworks. Molecular Biosystems. 2009;5:422–443.

Laubenbacher R, Hower V, Jarrah A, et al. A systems biology view of cancer. Biochimica et Biophysica Acta (BBA) – Reviews on Cancer. 2009;In Press, Corrected Proof.