Our research is primarily on applying machine-learning, data-mining, and text-mining techniques to biological and biomedical data. Some of the current projects include predicting possible multiple locations for proteins, classifying documents using image- and caption-based features, finding the risk levels of patients for Left Ventricular Diastolic Dysfunction, and identifying growth-patterns in children.