I am passionate about discovering knowledge or the underlying mechanism by integrating and analyzing massive disparate data sets.

Machine learning, particularly the deep learning with sufficient data sets will help to select the appropriate features that improve the outcome of classifiers. We have successfully applied deep learning (convolution neural network) for structural alignment and annotation of proteins from their structures.

In summary, I am interested in developing algorithm and models that will help us to discover functional motifs in protein structures, miRNA binding sites, and causal chains that lead to driver genes for cancer.