Bioinformatics and Computational Biology
My laboratory uses both computational and experimental approaches to quantitatively understand the complexity of biological systems. We are interested in investigating the structure and dynamics of molecular and cellular pathways through integration of low- and high-throughput data, followed by computational prediction and experimental validation. We apply a multi-pronged computational approach, including bioinformatics data mining, network modeling, stoichiometric modeling, kinetic modeling, and spatial-temporal modeling. Our experimental systems include yeast, mammalian cell culture, and the laboratory mouse. We train interdisciplinary scientists who flourish in the era of "Big Data".