My primary responsibility is to direct R&D operations of Computational Sciences (CS) at The Jackson Laboratory. CS works with our collaborators and partners at all campuses of The Jackson Laboratory and the expertise of CS spans the whole landscape of bioinformatics.
My research interests are in developing and applying statistical bioinformatics methods, machine learning algorithms and network biology approaches to understand disease biology and model biological processes such as cell division cycle and DNA replication. We mine integrative heterogeneous omics data analysis and modeling as basis for our research.
Biclustering is an important analysis procedure to understand the biological mechanisms from microarray gene expression data. Several algorithms have been proposed to identify biclusters, but very little effort was made to compare the performance of different algorithms on real datasets and combine the resultant biclusters into one unified ranking.