Dr. Ressom received a Ph.D. in Electrical Engineering from the University of Kaiserslautern, Germany in 1999. Prior to joining Georgetown University in 2004, he was an Assistant Professor of Electrical and Computer Engineering at the University of Maine, where he applied computational intelligence-based methods such as artificial neural networks, fuzzy logic, and evolutionary computing for microarray gene expression data analysis, DNA base calling, ocean color remote sensing, and industrial process control. His research at Georgetown University 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. Dr. Ressom’s laboratory is funded by grants from the National Science Foundation and the National Institutes of Health. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a co-director of the Lombardi Comprehensive Cancer Center’s Genomics and Epigenomics Shared Resource, which provides services for various studies including DNA sequencing, fragment analysis, gene expression, microRNA, methylation, and SNP genotyping.