Our lab develops and applies computational methods for building predictive and network models of complex biological processes and diseases. These data-driven methods have become critical in the new era biology, which is witnessing an explosion of the amount and types of data like never before. Using such approaches, we have gained successful insights into disease biomarker discovery, large-scale interactions between genes and proteins, and the effect of environmental factors on human health. We also have a continuing interest in the computational prediction of protein function, as well as the development of novel data mining and machine learning methods and developing their implementations for high-performance computing platforms. For more details of our work, check out our publications.