My research interests lie broadly in bioinformatics and computational biology. The primary research goal is to develop and apply computationally intensive techniques such as data mining and machine learning algorithms to address challenges in understanding biological systems, which involves theories and techniques from multi-disciplinary fields of computer science, statistics, biochemistry and biophysics. A general workflow of my research is to identify and study biological problems, construct computational models, develop and apply efficient and effective machine learning techniques to systematically analyze and understand biological processes. Specifically, my recent research focuses on problems such as prediction of protein functions and functional sites, identification of deleterious SNPs and indels, and drug repositioning
