Dr. Ressom's research focuses on cancer biomarker discovery and systems biology by analysis of omics data. Specifically, he uses label-free liquid chromatography-mass spectrometry (LC-MS) methods to search for candidate peptide, glycan, and metabolic biomarkers in serum and plasma. His laboratory develops signal processing, statistical, and machine learning methods to analyze LC-MS data and to integrate omics data for biomarker discovery and systems biology research.