Our group develops novel computational methods for answering biologically motivated questions. We focus on developing and applying machine learning, statistical modeling and pattern recognition techniques for solving problems in Systems Biology and Medicine. We collaborate very closely with experimental biologists and clinical scientists who validate our models and provide useful feedback to improve their predictive power. Our ultimate goal is translational research and discovery bioinformatics through approaches that integrate molecular and systems data to further our understanding of organismal biology in health and disease. To know more about our research, please check out our research page.