Professor Wei Pan

PUBHL Biostatistics Division
School of Public Health
Twin Cities
Project Title: 
Computational Genomics/Genetics and Neuroimaging

These researchers develop and evaluate various statistical and computational methods for genome-wide association studies (GWASs), next-generation sequencing data, multiple types of -omic data, and neuroimaging data. They conduct frequent and wide-ranging studies with large-scale simulated and real genetic and -omic data, which require both CPU-intensive computing and a large disk space to store big data. More recently the researchers have expanded their study into neuroimaging involving large-scale 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. One of their main goals is to integrate multiple types and multiple sources of -omic and neuroimaging data, for which they will continue downloading huge datasets.

Project Investigators

Yangqing Deng
Katherine Knutson
Professor Wei Pan
Jack Pattee
Chong Wu
Haoran Xue
Tianzhong Yang
Zhong Zhuang
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