We are interested in multidisciplinary life sciences research. The ultimate goal of our research is to integrate experimental and computational approaches for a better understanding of living systems. Our bioanalytical research exploits practical and efficient high-throughput technologies for the analysis of complex mixtures derived from living systems. This will facilitate the development of preventive, predictive, and personalized medicine for specific diseases and will promote health and wellness. We use many high-throughput analytical platforms, including multidimensional liquid chromatography-mass spectrometry (MDLC-MS) and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS) for epitranscriptomics, metabolomics, and lipidomics. Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for the accurate evaluation of health and detection of disease susceptibility.

Our bioinformatics research aims to develop a comprehensive system that enables the mining of high-throughput data for the identification of molecular networks and ‘systems-level’ knowledge assembly. We develop innovative bioinformatics algorithms for molecular identification and quantification. Our data-mining pipeline for omics provides molecular identification, quantification, pattern recognition, and network information. Diverse data integration and knowledge assembly are another of our bioinformatics research areas. We are developing bioinformatic tools to integrate scientific information extracted from biological databases by achieving a virtual integration of those databases.

Student training is the core of our team. Our philosophy is that everyone in the group contributes to our overall knowledge and understanding of the biological systems under study. Due to the multidisciplinary nature of our research, we accept that students' goals, backgrounds, and interests will differ. Depending on the student's interest, s/he can choose to focus on either bioanalytical method development or bioinformatics. However, students are always highly encouraged to interact and collaborate with others within and outside of the group.