Bioinformatics and Computational Biology
My laboratory applies computational and experimental approaches to quantitatively understand the complexity of biological systems. We are particularly interested in investigating the structure and dynamics of functional pathways of meiosis, the process by which haploid gametes are produced. Our ultimate goal is to create an integrated digital image of how cells initiate and progress through meiosis over multiple temporal and spatial scales. We aim to achieve this goal through high-throughput and low-throughput data acquisition and integration, followed by computational prediction and experimental validation. We apply a two-pronged computational approach, bioinformatics data mining and mechanistic mathematical modeling. Our main experimental systems include unicellular eukaryote yeast, mammalian cell culture, and mouse. We aim to create a nurturing environment to teach the next generation of interdisciplinary scientists.