Computational Genomics/Genetics and Neuroimaging
These researchers develop and evaluate various statistical and computational methods for genome-wide association studies (GWASs) and next-generation sequencing data. They conduct frequent and wide-ranging studies with large-scale simulated and real genetic data, which require both CPU-intensive computing and large disk space to store big data. More recently, the researchers have expanded their study into neuroimaging, which involves large amounts of MRI data. For example, they would like to develop and evaluate new computational methods to construct functional networks or connectomes based on resting-state functional MRI (fMRI) data.
A bibliography of this group’s publications is attached.
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