Our general research interests fall into many aspects of bioinformatics and biostatistics.  Our bioinformatics research interests include: computational and statistical methods for analyzing genome-wide data, biological network inference, comparative genomics and biological sequence analysis. Our applied statistics research interest area includes: applied multivariate analysis, statistical inference and computing, machine learning. In addition, we actively collaborate with biomedical researchers to apply appropriate computational and statistical techniques to solve real-world biomedical problems.