Bruce Church, Ph.D.

Vice President of Bionumerics at
Gene Network Sciences


Achieving Confidence in Mechanism for Drug Discovery and Development

Despite advances in our powers of observation, the ability to determine biological mechanisms from large-scale multi-omic technologies continues to be a major bottleneck. This can be overcome by utilizing computational learning methods that identify directly from the data the circuits and connections between drug-affected molecular constituents and physiological observables. These reverse engineering methods are computationally intensive and their application to commercially relevant problems requires access to significant high performance computing resources. The marriage of multi-omics technologies with reverse engineering approaches and high performance computing can provide missing insights needed to improve drug development success rates.


Vice President of Bionumerics at Gene Network Sciences, Dr. Church received a B.S. in Applied and Engineering Physics and a Ph.D. in Applied Physics from Cornell University in New York. An expert in computational biophysics, Dr. Church has spent the last decade developing global optimization methods for computational protein folding, the results of which have been published in seven peer-reviewed journals. As Director of Bionumerics at Gene Network Sciences, Dr. Church leads the design and implementation of the company's proprietary network inference engine, a computational hypothesis testing framework that allows GNS to predict probable network architectures in cells. Dr. Church has been awarded and serves as the principal investigator on several major grants, including a $2.5 million award from the Department of Energy.

updated: 2008-09-16