My main research interests are in the AI areas of problem reformulation and machine learning and datamining. In particular, I am interested in various techniques for machine learning (such as ensemble approaches, techniques which overcome overfitting problems, and data-engineering as incorporating background knowledge) and their applications to real world problems. Most of my applications focus is currently directed to Molecular Biology. Most of my recent publications and projects are in these areas.