Abstract: State-of-the-art high-throughput technologies, such as next-generation sequencing and mass spectrometry, have dramatically advanced the understanding of biological organisms and diseases. However, the big and complex data generated from those technologies pose substantial challenges in data analysis that demand rapid development of new statistical methods. In this talk, I will present several statistical methods my students and I have developed for analyzing genomic, transcriptomic, proteomic and metabolomic data with applications in cancer studies. I will also discuss ongoing projects and future directions.