The human genome contains a torrent of information that gives clues not only about human origin, evolution, biological function, but also diseases. The goal of my project aims at developing novel machine learning techniques to better understand the complex genomic data and also other forms of data that can represent patient diseases. Towards this goal, we may be able to reveal more about disease mechanisms and therapy outcomes, which therefore shed new lights on the findings for personalized medicine and healthcare for each patient.